```r
-# We will be loading a SingleCellExperiment object into our environment but
-# don't need to see the startup messages
+
+# We will be loading a SingleCellExperiment object into our environment but
+
+
+Warning message:
+replacing previous import ‘S4Arrays::makeNindexFromArrayViewport’ by ‘DelayedArray::makeNindexFromArrayViewport’ when loading ‘SummarizedExperiment’
+
+
+# don't need to see the startup messages
suppressPackageStartupMessages({
library(SingleCellExperiment)
-})
-
-<!-- rnb-source-end -->
-
-<!-- rnb-output-begin eyJkYXRhIjoiV2FybmluZzogcmVwbGFjaW5nIHByZXZpb3VzIGltcG9ydCDigJhTNEFycmF5czo6bWFrZU5pbmRleEZyb21BcnJheVZpZXdwb3J04oCZIGJ5IOKAmERlbGF5ZWRBcnJheTo6bWFrZU5pbmRleEZyb21BcnJheVZpZXdwb3J04oCZIHdoZW4gbG9hZGluZyDigJhTdW1tYXJpemVkRXhwZXJpbWVudOKAmVxuIn0= -->
-
-Warning: replacing previous import
-‘S4Arrays::makeNindexFromArrayViewport’ by
-‘DelayedArray::makeNindexFromArrayViewport’ when loading
-‘SummarizedExperiment’
-
-
-
-<!-- rnb-output-end -->
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBMaWJyYXJ5IHdlJ2xsIHVzZSBmb3IgdGhlIGdlbmUgc2V0IGFuYWx5c2lzIGl0c2VsZlxubGlicmFyeShBVUNlbGwpXG5gYGBcbmBgYCJ9 -->
+})
-```r
-```r
# Library we'll use for the gene set analysis itself
-library(AUCell)
-
-<!-- rnb-source-end -->
+library(AUCell)
-<!-- rnb-output-begin eyJkYXRhIjoiUmVnaXN0ZXJlZCBTMyBtZXRob2Qgb3ZlcndyaXR0ZW4gYnkgJ2RhdGEudGFibGUnOlxuICBtZXRob2QgICAgICAgICAgIGZyb21cbiAgcHJpbnQuZGF0YS50YWJsZSAgICAgXG4ifQ== -->
-
-Registered S3 method overwritten by ‘data.table’: method from
-print.data.table
-
-
-
-<!-- rnb-output-end -->
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBMaWJyYXJpZXMgZm9yIGFjY2Vzc2luZyBhbmQgd29ya2luZyB3aXRoIGdlbmUgc2V0c1xubGlicmFyeShHU0VBQmFzZSlcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
# Libraries for accessing and working with gene sets
library(GSEABase)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-output-begin eyJkYXRhIjoiTG9hZGluZyByZXF1aXJlZCBwYWNrYWdlOiBhbm5vdGF0ZVxuTG9hZGluZyByZXF1aXJlZCBwYWNrYWdlOiBBbm5vdGF0aW9uRGJpXG5Mb2FkaW5nIHJlcXVpcmVkIHBhY2thZ2U6IFhNTFxuTG9hZGluZyByZXF1aXJlZCBwYWNrYWdlOiBncmFwaFxuXG5BdHRhY2hpbmcgcGFja2FnZTog4oCYZ3JhcGjigJlcblxuVGhlIGZvbGxvd2luZyBvYmplY3QgaXMgbWFza2VkIGZyb20g4oCYcGFja2FnZTpYTUzigJk6XG5cbiAgICBhZGROb2RlXG4ifQ== -->
-
-Loading required package: annotate Loading required package:
-AnnotationDbi Loading required package: XML Loading required package:
-graph
-Attaching package: ‘graph’
-The following object is masked from ‘package:XML’:
-addNode
-
+
+
+Loading required package: annotate
+Loading required package: AnnotationDbi
+Attaching package: ‘AnnotationDbi’
-<!-- rnb-output-end -->
+The following object is masked from ‘package:clusterProfiler’:
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxubGlicmFyeShtc2lnZGJyKVxuYGBgXG5gYGAifQ== -->
+ select
-```r
-```r
-library(msigdbr)
-
-<!-- rnb-source-end -->
+Loading required package: XML
+Loading required package: graph
-<!-- rnb-chunk-end -->
+Attaching package: ‘graph’
+The following object is masked from ‘package:XML’:
-<!-- rnb-text-begin -->
-
-### Directories and files
-
-#### Directories
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBJbnB1dCBkYXRhIFxuZXdpbmdfZGF0YV9kaXIgPC0gZnM6OnBhdGgoXFxkYXRhXFwsIFxcZXdpbmctc2FyY29tYVxcKVxucHJvY2Vzc2VkX2RpciA8LSBmczo6cGF0aChld2luZ19kYXRhX2RpciwgXFxwcm9jZXNzZWRcXClcblxuIyBEaXJlY3RvcnkgZm9yIGhvbGRpbmcgcGF0aHdheSBhbmFseXNpcyByZXN1bHRzXG5hbmFseXNpc19kaXIgPC0gZnM6OnBhdGgoXFxhbmFseXNpc1xcLCBcXGV3aW5nLXNhcmNvbWFcXCwgXFxwYXRod2F5LWFuYWx5c2lzXFwpXG4jIENyZWF0ZSBpZiBpdCBkb2Vzbid0IGV4aXN0IHlldFxuZnM6OmRpcl9jcmVhdGUoYW5hbHlzaXNfZGlyKVxuYGBgXG5gYGAifQ== -->
-
-```r
-```r
-# Input data
-ewing_data_dir <- fs::path(\data\, \ewing-sarcoma\)
-processed_dir <- fs::path(ewing_data_dir, \processed\)
+ addNode
+
+
+library(msigdbr)
+
+
+
+
+
+Directories and files
+
+Directories
+
+
+
+# Input data
+ewing_data_dir <- fs::path("data", "ewing-sarcoma")
+processed_dir <- fs::path(ewing_data_dir, "processed")
# Directory for holding pathway analysis results
-analysis_dir <- fs::path(\analysis\, \ewing-sarcoma\, \pathway-analysis\)
+analysis_dir <- fs::path("analysis", "ewing-sarcoma", "pathway-analysis")
# Create if it doesn't exist yet
fs::dir_create(analysis_dir)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-#### Files
-
-The input will be a `SingleCellExperiment` for an individual Ewing sarcoma library.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2NlX2ZpbGUgPC0gZnM6OnBhdGgocHJvY2Vzc2VkX2RpciwgXG4gICAgICAgICAgICAgICAgICAgICBcXFNDUENTMDAwNDkwXFwsIFxuICAgICAgICAgICAgICAgICAgICAgXFxTQ1BDTDAwMDgyMl9wcm9jZXNzZWQucmRzXFwpXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-sce_file <- fs::path(processed_dir,
- \SCPCS000490\,
- \SCPCL000822_processed.rds\)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-We will save the AUCell results as a table in the analysis directory.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxub3V0cHV0X2ZpbGUgPC0gZnM6OnBhdGgoYW5hbHlzaXNfZGlyLFxuICAgICAgICAgICAgICAgICAgICAgICAgXFxld2luZ19zYXJjb21hX2F1Y2VsbF9yZXN1bHRzLnRzdlxcKVxuYGBgXG5gYGAifQ== -->
-
-```r
-```r
-output_file <- fs::path(analysis_dir,
- \ewing_sarcoma_aucell_results.tsv\)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-
-### Functions
-
-The `source()` function allows us to load in custom functions we saved in an `.R` file.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc291cmNlKGZzOjpwYXRoKFxcdXRpbFxcLCBcXGF1Y2VsbF9mdW5jdGlvbnMuUlxcKSlcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-source(fs::path(\util\, \aucell_functions.R\))
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-This loads one custom function, called `plot_recovery_curve()`, into our environment.
-This function is adapted from [the AUCell vignette](https://github.com/aertslab/AUCell/blob/91753b327a39dc7a4bbed46408ec2271c485f2f0/vignettes/AUCell.Rmd#L295-L316).
-
-## Set up gene sets
-
-We are going to use two gene sets pertaining to Ewing sarcoma.
-
-* [`ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION`](https://www.gsea-msigdb.org/gsea/msigdb/geneset_page.jsp?geneSetName=ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION), which are genes that were highly expressed in a rhabdomyosarcoma cell line engineered to express the EWSR1-FLI1 fusion.
-* [`RIGGI_EWING_SARCOMA_PROGENITOR_UP`](https://www.gsea-msigdb.org/gsea/msigdb/cards/RIGGI_EWING_SARCOMA_PROGENITOR_UP), which are genes that were highly expressed in mesenchymal stem cells engineered to express the EWS-FLI1 fusion protein.
-
-We would expect both of these gene sets to have high expression in tumor cells.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuZXdpbmdfZ2VuZV9zZXRfbmFtZXMgPC0gYyhcXFpIQU5HX1RBUkdFVFNfT0ZfRVdTUjFfRkxJMV9GVVNJT05cXCxcbiAgICAgICAgICAgICAgICAgICAgICAgICAgXFxSSUdHSV9FV0lOR19TQVJDT01BX1BST0dFTklUT1JfVVBcXClcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-ewing_gene_set_names <- c(\ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION\,
- \RIGGI_EWING_SARCOMA_PROGENITOR_UP\)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-These gene sets come from the C2 gene set collection from MSigDB.
-Let's retrieve them using `msigdbr()`.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuZXdpbmdfZ2VuZV9zZXRzX2RmIDwtIG1zaWdkYnIoc3BlY2llcyA9IFxcSG9tbyBzYXBpZW5zXFwsXG4gICAgICAgICAgICAgICAgICAgICAgICAgICAgICBjYXRlZ29yeSA9IFxcQzJcXCxcbiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIHN1YmNhdGVnb3J5ID0gXFxDR1BcXCkgfD5cbiAgZHBseXI6OmZpbHRlcihnc19uYW1lICVpbiUgZXdpbmdfZ2VuZV9zZXRfbmFtZXMpXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-ewing_gene_sets_df <- msigdbr(species = \Homo sapiens\,
- category = \C2\,
- subcategory = \CGP\) |>
+
+
+
+
+
+Files
+The input will be a SingleCellExperiment for an
+individual Ewing sarcoma library.
+
+
+
+sce_file <- fs::path(processed_dir,
+ "SCPCS000490",
+ "SCPCL000822_processed.rds")
+
+
+
+We will save the AUCell results as a table in the analysis
+directory.
+
+
+
+output_file <- fs::path(analysis_dir,
+ "ewing_sarcoma_aucell_results.tsv")
+
+
+
+
+
+
+Functions
+The source() function allows us to load in custom
+functions we saved in an .R file.
+
+
+
+source(fs::path("util", "aucell_functions.R"))
+
+
+
+This loads one custom function, called
+plot_recovery_curve(), into our environment. This function
+is adapted from the
+AUCell vignette.
+
+
+
+Set up gene sets
+We are going to use two gene sets pertaining to Ewing sarcoma.
+
+ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION,
+which are genes that were highly expressed in a rhabdomyosarcoma cell
+line engineered to express the EWSR1-FLI1 fusion.RIGGI_EWING_SARCOMA_PROGENITOR_UP,
+which are genes that were highly expressed in mesenchymal stem cells
+engineered to express the EWS-FLI1 fusion protein.
+We would expect both of these gene sets to have high expression in
+tumor cells.
+
+
+
+ewing_gene_set_names <- c("ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION",
+ "RIGGI_EWING_SARCOMA_PROGENITOR_UP")
+
+
+
+These gene sets come from the C2 gene set collection from MSigDB.
+Let’s retrieve them using msigdbr().
+
+
+
+ewing_gene_sets_df <- msigdbr(species = "Homo sapiens",
+ category = "C2",
+ subcategory = "CGP") |>
dplyr::filter(gs_name %in% ewing_gene_set_names)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-`AUCell` uses gene sets in a particular format that comes from the `GSEABase` package.
-We need to create a `GeneSetCollection`.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin 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 -->
-
-```r
-```r
-ewing_gene_set_collection <- ewing_gene_set_names |>
+
+
+
+AUCell uses gene sets in a particular format that comes
+from the GSEABase package. We need to create a
+GeneSetCollection.
+
+
+
+ewing_gene_set_collection <- ewing_gene_set_names |>
purrr::map(
# For each gene set
\(gene_set_name) ewing_gene_sets_df |>
@@ -3190,533 +3076,285 @@ Libraries
) |>
# Turn the list of GeneSet objects into a GeneSet collection
GeneSetCollection()
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-## Read in and prepare SingleCellExperiment
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2NlIDwtIHJlYWRyOjpyZWFkX3JkcyhzY2VfZmlsZSlcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-sce <- readr::read_rds(sce_file)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-The `AUCell` functions takes an expression matrix with genes as rows and cells as column.
-We can save a counts matrix in sparse format for use with `AUCell`.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBFeHRyYWN0IGNvdW50cyBtYXRyaXggYW5kIHNhdmUgaW4gc3BhcnNlIGZvcm1hdFxuY291bnRzX21hdHJpeCA8LSBjb3VudHMoc2NlKSB8PlxuICBhcyhcXGRnQ01hdHJpeFxcKVxuYGBgXG5gYGAifQ== -->
-
-```r
-```r
-# Extract counts matrix and save in sparse format
+
+
+
+
+
+Read in and prepare SingleCellExperiment
+
+
+
+sce <- readr::read_rds(sce_file)
+
+
+
+The AUCell functions takes an expression matrix with
+genes as rows and cells as column. We can save a counts matrix in sparse
+format for use with AUCell.
+
+
+
+# Extract counts matrix and save in sparse format
counts_matrix <- counts(sce) |>
- as(\dgCMatrix\)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-There may be genes in our gene set that do not appear in the SingleCellExperiment object.
-We can remove them using the `subsetGeneSets()` function.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBSZW1vdmUgZ2VuZXMgZnJvbSBnZW5lIHNldHMgaWYgdGhleSBhcmUgbm90IGluIHRoZSBTQ0VcbmV3aW5nX2dlbmVfc2V0X2NvbGxlY3Rpb24gPC0gc3Vic2V0R2VuZVNldHMoZXdpbmdfZ2VuZV9zZXRfY29sbGVjdGlvbixcbiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgcm93bmFtZXMoY291bnRzX21hdHJpeCkpXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-# Remove genes from gene sets if they are not in the SCE
+ as("dgCMatrix")
+
+
+
+There may be genes in our gene set that do not appear in the
+SingleCellExperiment object. We can remove them using the
+subsetGeneSets() function.
+
+
+
+# Remove genes from gene sets if they are not in the SCE
ewing_gene_set_collection <- subsetGeneSets(ewing_gene_set_collection,
rownames(counts_matrix))
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-## AUCell
-
-AUCell relies on gene rankings, but we expect a proportion of genes are not detected.
-Genes can also have the same expression level (i.e., ties).
-These undetected genes and ties will be randomly ordered.
-To make our results reproducible, we will set a seed.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2V0LnNlZWQoMjAyNClcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-set.seed(2024)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-### Cell ranking
-
-The first step in AUCell is to rank genes for each cell from highest to lowest values.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuY2VsbF9yYW5raW5ncyA8LSBBVUNlbGxfYnVpbGRSYW5raW5ncyhjb3VudHNfbWF0cml4KVxuYGBgXG5gYGAifQ== -->
-
-```r
-```r
-cell_rankings <- AUCell_buildRankings(counts_matrix)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-output-begin eyJkYXRhIjoiUXVhbnRpbGVzIGZvciB0aGUgbnVtYmVyIG9mIGdlbmVzIGRldGVjdGVkIGJ5IGNlbGw6IFxuKE5vbi1kZXRlY3RlZCBnZW5lcyBhcmUgc2h1ZmZsZWQgYXQgdGhlIGVuZCBvZiB0aGUgcmFua2luZy4gS2VlcCBpdCBpbiBtaW5kIHdoZW4gY2hvb3NpbmcgdGhlIHRocmVzaG9sZCBmb3IgY2FsY3VsYXRpbmcgdGhlIEFVQykuXG4gICAgbWluICAgICAgMSUgICAgICA1JSAgICAgMTAlICAgICA1MCUgICAgMTAwJSBcbiAyMTMuMDAgIDQ2NS43NiAgNzk1LjgwIDExMDIuMjAgMjIzOC4wMCA2NjA4LjAwIFxuIn0= -->
-
-Quantiles for the number of genes detected by cell: (Non-detected
-genes are shuffled at the end of the ranking. Keep it in mind when
-choosing the threshold for calculating the AUC). min 1% 5% 10% 50% 100%
-213.00 465.76 795.80 1102.20 2238.00 6608.00
-
-
-
-<!-- rnb-output-end -->
-
-<!-- rnb-plot-begin -->
-
-<img 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" />
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-<!-- rnb-plot-end -->
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-<!-- rnb-chunk-end -->
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-
-<!-- rnb-text-begin -->
-
-We want to make sure most cells have at least the number of genes we will use to calculate the AUC.
-By default, the max rank is the top 5% highest expressed genes.
-We can calculate the default max rank by taking into account the number of genes.
-
-
-<!-- rnb-text-end -->
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-<!-- rnb-chunk-begin -->
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-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxubnJvdyhjZWxsX3JhbmtpbmdzKSAqIDAuMDVcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-nrow(cell_rankings) * 0.05
-
-<!-- rnb-source-end -->
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-<!-- rnb-output-begin eyJkYXRhIjoiWzFdIDMwMTUuOTVcbiJ9 -->
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-[1] 3015.95
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-<!-- rnb-output-end -->
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-<!-- rnb-chunk-end -->
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-
-<!-- rnb-text-begin -->
-
-
-This number is probably too high, given the distribution of the number of genes detected by cell.
-What if we chose a 1% threshold?
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxubnJvdyhjZWxsX3JhbmtpbmdzKSAqIDAuMDFcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-nrow(cell_rankings) * 0.01
-
-<!-- rnb-source-end -->
-
-<!-- rnb-output-begin eyJkYXRhIjoiWzFdIDYwMy4xOVxuIn0= -->
-
-[1] 603.19
-
-
-
-<!-- rnb-output-end -->
-
-<!-- rnb-chunk-end -->
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-
-<!-- rnb-text-begin -->
-
-
-That is probably a more reasonable choice for this dataset.
-We can use a function called `ceiling()` to round this and save it to a variable for later use.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuYXVjX21heF9yYW5rIDwtIGNlaWxpbmcobnJvdyhjZWxsX3JhbmtpbmdzKSAqIDAuMDEpXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-auc_max_rank <- ceiling(nrow(cell_rankings) * 0.01)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-### Plotting AUC
-
-The scores or values we get out of AUCell are the area under a recovery curve and estimate the proportion of genes in the gene set are highly expressed (i.e., highly ranked).
-
-Let's make two plots to get a better intuition about AUC values.
-Earlier, we loaded a custom function we adapted from [the AUCell vignette](https://github.com/aertslab/AUCell/blob/91753b327a39dc7a4bbed46408ec2271c485f2f0/vignettes/AUCell.Rmd) called `plot_recovery_curve()` with `source()`.
-
-First, we'll start with a cell with a high AUC.
-We picked this barcode ahead of time when we wrote the notebook.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxucGxvdF9yZWNvdmVyeV9jdXJ2ZShjZWxsX3JhbmtpbmdzLFxuICAgICAgICAgICAgICAgICAgICBld2luZ19nZW5lX3NldF9jb2xsZWN0aW9uLFxuICAgICAgICAgICAgICAgICAgICBnZW5lX3NldF9uYW1lID0gXFxaSEFOR19UQVJHRVRTX09GX0VXU1IxX0ZMSTFfRlVTSU9OXFwsXG4gICAgICAgICAgICAgICAgICAgIGJhcmNvZGUgPSBcXENUR0FHQ0dHVENUVFRBVENcXCxcbiAgICAgICAgICAgICAgICAgICAgYXVjX21heF9yYW5rID0gYXVjX21heF9yYW5rKSAgIyAxJSB0aHJlc2hvbGQgXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-plot_recovery_curve(cell_rankings,
- ewing_gene_set_collection,
- gene_set_name = \ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION\,
- barcode = \CTGAGCGGTCTTTATC\,
- auc_max_rank = auc_max_rank) # 1% threshold
-
-<!-- rnb-source-end -->
-
-<!-- rnb-plot-begin -->
-
-<img 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" />
-
-<!-- rnb-plot-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-The x-axis is the gene ranks for all genes.
-The y-axis is the number of genes in the signature at a given point in the gene ranking -- the line will rise when a gene in the gene set is encountered in the ranking from highest to lowest.
-The AUC is the area under this recovery curve at the max rank threshold chosen for this dataset.
-
-Now, let's look at an example with a low AUC.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxucGxvdF9yZWNvdmVyeV9jdXJ2ZShjZWxsX3JhbmtpbmdzLFxuICAgICAgICAgICAgICAgICAgICBld2luZ19nZW5lX3NldF9jb2xsZWN0aW9uLFxuICAgICAgICAgICAgICAgICAgICBnZW5lX3NldF9uYW1lID0gXFxaSEFOR19UQVJHRVRTX09GX0VXU1IxX0ZMSTFfRlVTSU9OXFwsXG4gICAgICAgICAgICAgICAgICAgIGJhcmNvZGUgPSBcXEFHQVRBR0FHVENBQ0FBVENcXCxcbiAgICAgICAgICAgICAgICAgICAgYXVjX21heF9yYW5rID0gYXVjX21heF9yYW5rKSAgIyAxJSB0aHJlc2hvbGRcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-plot_recovery_curve(cell_rankings,
+
+
+
+
+
+AUCell
+AUCell relies on gene rankings, but we expect a proportion of genes
+are not detected. Genes can also have the same expression level (i.e.,
+ties). These undetected genes and ties will be randomly ordered. To make
+our results reproducible, we will set a seed.
+
+
+
+set.seed(2024)
+
+
+
+
+Cell ranking
+The first step in AUCell is to rank genes for each cell from highest
+to lowest values.
+
+
+
+cell_rankings <- AUCell_buildRankings(counts_matrix)
+
+
+Quantiles for the number of genes detected by cell:
+(Non-detected genes are shuffled at the end of the ranking. Keep it in mind when choosing the threshold for calculating the AUC).
+
+
+ min 1% 5% 10% 50% 100%
+ 213.00 465.76 795.80 1102.20 2238.00 6608.00
+
+
+
+
+
+
+We want to make sure most cells have at least the number of genes we
+will use to calculate the AUC. By default, the max rank is the top 5%
+highest expressed genes. We can calculate the default max rank by taking
+into account the number of genes.
+
+
+
+nrow(cell_rankings) * 0.05
+
+
+[1] 3015.95
+
+
+
+This number is probably too high, given the distribution of the
+number of genes detected by cell. What if we chose a 1% threshold?
+
+
+
+nrow(cell_rankings) * 0.01
+
+
+[1] 603.19
+
+
+
+That is probably a more reasonable choice for this dataset. We can
+use a function called ceiling() to round this and save it
+to a variable for later use.
+
+
+
+auc_max_rank <- ceiling(nrow(cell_rankings) * 0.01)
+
+
+
+
+
+Plotting AUC
+The scores or values we get out of AUCell are the area under a
+recovery curve and estimate the proportion of genes in the gene set are
+highly expressed (i.e., highly ranked).
+Let’s make two plots to get a better intuition about AUC values.
+Earlier, we loaded a custom function we adapted from the
+AUCell vignette called plot_recovery_curve() with
+source().
+First, we’ll start with a cell with a high AUC. We picked this
+barcode ahead of time when we wrote the notebook.
+
+
+
+plot_recovery_curve(cell_rankings,
+ ewing_gene_set_collection,
+ gene_set_name = "ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION",
+ barcode = "CTGAGCGGTCTTTATC",
+ auc_max_rank = auc_max_rank) # 1% threshold
+
+
+
+
+
+
+The x-axis is the gene ranks for all genes. The y-axis is the number
+of genes in the signature at a given point in the gene ranking – the
+line will rise when a gene in the gene set is encountered in the ranking
+from highest to lowest. The AUC is the area under this recovery curve at
+the max rank threshold chosen for this dataset.
+Now, let’s look at an example with a low AUC.
+
+
+
+plot_recovery_curve(cell_rankings,
ewing_gene_set_collection,
- gene_set_name = \ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION\,
- barcode = \AGATAGAGTCACAATC\,
+ gene_set_name = "ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION",
+ barcode = "AGATAGAGTCACAATC",
auc_max_rank = auc_max_rank) # 1% threshold
-
-<!-- rnb-source-end -->
-
-<!-- rnb-plot-begin -->
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-<img 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pH//M//TKrkV7/6VXl5eWWHf/zjH0mHCCF069Yt8RApn5O0XEEAiMViGbHd+LggAOxRGjZsmLiywHHHHbdw4cLv6lxaWhpfILDSmWeeOW3atMSWE044Yf78+ZVvMzIyBg0a9MMf/vCYY45Zu3btq6+++tBDDyUesXnz5p988knluoDPP/980qP1GRkZffv2PeWUU+rXrz937txx48aVlpZWbm3UqNHixYubNm0af/vhhx+2b98+sUMI4YgjjsjPz2/fvv2SJUtee+21xJ/94/785z9feOGF2/zIJ5988qxZs6q25+bmfvHFF0lnI5IzMGjQoMcff7xya+fOnd9+++1t1lbV2WefnTQHQVzLli2TvnLvvGpekSeffPLqq69O2ufRRx994okn7rPPPh999NHs2bOr/p9Yt27d3nzzzcq31Tknu/8KAkAI7mgAYC/2ve5oqKioSPo39OSTT07q849//GPnv3HVrVv3tddeS9rDBRdcsJPDMzIyJk+enDT8kUce2cnhcddcc812PvIf/vCHbY4aMGDAdw2p5hlI+df7WCyWeM9/oiFDhuz8TqqqzhVZt25d1Yk2q0pa3iKqOxpi6biCABCLxUwGCQA7JSMjIymY+PDDD5P6tGvX7rnnntuZ72n777//q6++etZZZyW1jxs37rTTTtuZeu64446kyfxCCD/96U/vueeenfz1/tJLL3344Ye30+HHP/7xNp9HSFqtIFH1z0DK+vbtm/R0QFw1pw+ozhVp2LDhiBEjtj8qPz+/oKAg9fq2q2ZdQQBqDUEDAOysE088MfHt2rVr77333qQ+559//uuvv151HYdK++6778UXX/zuu+9269at6tbc3NzXXnttyJAh2/mmd8wxxxQWFg4bNmybW3/961+//PLLxxxzzHY+SLNmzZ544on//u//rlOnzna6NW3atHv37kmNjRo12v4KDtU8AymrX7/++eefn9R4zDHHtG/fvjq7reYVGTBgwIgRI7aZgIQQfvSjH02YMGE7s0tUU826ggDUGladAICddemllyZNynD77bf/+te/Tup20kknvffee5MnT540adLMmTPXrFnzzTff5OXlHXHEEW3atLnmmmtatWq1naPUqVPnt7/97eDBgydMmPDqq69+9NFHX375ZSwWO/DAA0844YTevXtfccUV219D4ZxzzunVq9eUKVOmTJkSL+Crr75q0KDBQQcddOKJJ5599tkXXnjhTt4e369fv+nTpye2XHDBBZmZmdsfVc0zkLJLL7302WefTWyJZDWE6lyRjIyMX/ziFz/60Y9Gjhy5ePHioqKidevWNW3atFOnTldcccU555xT/fK2r2ZdQQBqB5NBAgC1xNatW3NychIX71yyZMkRRxyRxpIAYC/k0QkAoJZYs2ZNYspw0kknSRkAYPcTNAAAtcRjjz2W+Pbiiy9OVyUAsDfz6AQAUIN99dVXDRs2/Pzzz0ePHn3vvfdW3tGw3377rVy5slmzZuktDwD2QiaDBABqsMsvv3zq1KmJT0zE9e7dW8oAAGnh0QkAoGarmjLss88+t99+e1qKAQAEDQBArbLffvuNGjXqhBNOSHchALCX8ugEAFCDNWzYsE6dOiGEgw466LDDDuvevfull1569NFHp7suANh7mQwSAAAAiIxHJwAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMjsl+4CiN7KlSufeOKJ8vLydBcCAACwt6tXr94tt9xSt27ddBey+wgaaqFHHnlkxIgR6a4CAACAEEI4+uijCwoK0l3F7iNoqIXKyspCCL179+7WrVu6awEAANh7Pf/88/Pnzy8tLU13IbuVoKHWOuOMM2666aZ0VwEAALD3WrRo0fz589Ndxe5mMkgAAAAgMoIGAAAAIDKCBgAAACAyggYAAAAgMoIGANJs6NChBQUFFRUV6S4EAIAICBoASLPx48dPnDixuLg43YUAABABQQMAaRaLxSr/AgBQ0wkaAAAAgMgIGgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoAAACAyOyX7gIA2Nvl5eWVlZXl5uamuxAAACIgaAAgzWbMmFFSUpKdnZ3uQgAAiICgAYA0y8nJycnJSXcVAABEwxwNAAAAQGQEDQAAAEBkBA0AAABAZAQNAAAAQGQEDQCk2dChQwsKCioqKtJdCAAAERA0AJBm48ePnzhxYnFxcboLAQAgAoIGANIsFotV/gUAoKYTNAAAAACRETQAAAAAkRE0AAAAAJERNAAAAACRETQAAAAAkRE0AAAAAJHZL90FALC3y8vLKysry83NTXchAABEQNAAQJrNmDGjpKQkOzs73YUAABABQQMAaZaTk5OTk5PuKgAAiIY5GgAAAIDICBoAAACAyAgaAAAAgMgIGgAAAIDICBoASLOhQ4cWFBRUVFSkuxAAACIgaAAgzcaPHz9x4sTi4uJ0FwIAQAQEDQCkWSwWq/wLAEBNJ2gAAAAAIiNoAAAAACIjaAAAAAAiI2gAAAAAIiNoAAAAACIjaAAAAAAis1+6CwBgb5eXl1dWVpabm5vuQgAAiICgAYA0mzFjRklJSXZ2droLAQAgAoKGHdi0adO6des2bdq0cePGrKysBg0aNG7cuEGDBumuC6D2yMnJycnJSXcVAABEQ9CwDV988cVf/vKXKVOmLF68eMWKFbFYLKlD8+bN27Ztm5+f37dv3xYtWqSlSAAAANgDmQzy/7F+/fobb7yxRYsW119//eTJk5cvX141ZQgh/POf/5w6deoNN9zQqlWrgQMHFhcX7/5SAQAAYA/kjob/s2zZsjPPPPPTTz+tbMnJyWnZsmWzZs3q1q2blZVVWlq6efPmNWvWrFy5ctOmTSGEsrKyJ554Ytq0aVOmTDn66KPTVzsAAADsEQQN3yotLT333HPjKUOzZs2uvfba8847r127dvvuu2/VzrFYrKioqLCwcPTo0R9//PGnn37at2/fuXPnesYYAACAvZxHJ741duzYxYsXhxB69+5dVFQ0bNiwDh06bDNlCCFkZGS0adPmlltuWbhw4fXXXx9CKCoqGjNmzG6tGKC2GDp0aEFBQUVFRboLAQAgAoKGbz333HMhhGbNmr3wwgs7v5Z7nTp1Ro0a1aVLlxDChAkTdmF9ALXX+PHjJ06caL4bAIDaQdDwraKiohDCeeed930ff8jIyOjXr18IYcmSJbukMoDaLj7t7jYn3wUAoMYRNHxr8+bNIYQGDRqkMPaAAw4IIcSnhwQAAIC9maDhWy1btgwhzJkzJ4Wx8VEtWrSIuCYAAACoaQQN38rPzw8h/P3vf3/hhRe+18D33ntv3LhxIYQePXrsksoAAACg5hA0fOtnP/tZfHaG/v37Dxky5PPPP9/hkPXr148YMaJ79+6bN2/OzMwcNGjQri8TAAAA9mj7pbuAPUWrVq0eeuih6667buvWrffff/+DDz540kkn/eAHP2jVqtXBBx9ct27drKyssrKyzZs3r1mzZvny5XPmzJk1a9aWLVviw++777527dql9yMAAABA2gka/s8111xTr169G264Ye3atVu3bp01a9asWbN2OKpBgwajRo0aMGDAbqgQAAAA9nAenfh/XHLJJUuWLLn77rvbtGmzw86tW7e+/fbbly1bJmUAqI68vLxGjRrl5uamuxAAACLgjoZkDRs2vP3222+//faVK1cuWrTogw8+WLt27caNGzdv3pydnV2/fv0mTZq0bt26bdu2hx56aLqLBagNZsyYUVJSkp2dne5CAACIgKDhO7Vs2bJly5bx1SjSYtKkSc8880wKA2fPnh1CWLFiRdQVAewSOTk58el4AQCoBQQNe66nnnrqxRdfTHn4zJkzIywGAAAAdoag4Xtbvnz5ggULNmzY0LJlyy5dutSpU2cXHWj06NH9+/cvLy//vgN/+ctfLlu27OCDD94VVQEAAMB2CBqSrV+//p133nnvvffWrl171FFHXXLJJZXzkxUXF19//fUTJ06MxWLxltzc3BEjRlx77bW7opLGjRtfcMEFKQy87777li1blpGREXlJAAAAsH2Chv/H5MmTr7zyyi+//LKy5fbbb58yZcpJJ51UXFx8xhlnLFy4MLH/hg0brrvuuldfffWZZ57xgDEAAABY3vL/PPnkk717905MGUIIa9eu7dWr12effTZ48OB4ytCqVasrr7zyl7/8Zc+ePTMzM0MIL7744vDhw9NTNEDNN3To0IKCgoqKinQXAgBABNzR8K1169YNGTIk/vrCCy/Mz8+vV6/eG2+88cQTT6xbt+6ss8764IMPQgiDBw8eMWJE5bwMc+fO/fGPf7xs2bL777//iiuuOPzww9P2AQBqrPHjx69Zs+bhhx8+6KCD0l0LAADV5Y6Gb/3+979ft25dCGHkyJF//vOff/KTn1x00UWPPPLIpEmTQgjxlOGUU04ZOXJk4uyPHTt2/OMf/xhCKCkpGTlyZJpqB6jZ4hPfVE5/AwBAjSZo+NZ7770XQjj22GNvuOGGxPb8/PzevXvHXw8dOrTqwNNOO61z584hhNdff33XlwkAAAB7NEHDt4qKikIIXbp0qbpYw8knnxx/0bZt222OjbevWrVqVxYIAAAANYCg4Vvr168PIey///5VN1Uub1n5IknDhg1DCN98880uqw4AAABqBkHDt1q3bh1C+Oijj6pu+vDDD+MvlixZss2x8Q5NmjTZZdUBAABAzSBo+FabNm1CCK+99lplrBC3bt26Z555Jv76f/7nf6oOXLt27ZtvvhlC6NSp064vEwAAAPZogoZvXXXVVSGEsrKy3r17v/HGG/Hl3BctWtSrV6/4ahQhhN/97neLFi1KHFVeXn7TTTd99dVXIYSCgoLdXjUAAADsWQQN3zrllFMuuuiiEMLSpUtPO+20/fffv2HDhm3btp09e3YIYezYsS1btvzmm29OOumk++67b86cOStWrJg0aVL37t3/+7//O4Rw8skn9+vXL82fAaBmysvLa9So0XfNgwMAQM2yX7oL2IM8+uijmzZteuWVV0IImzZtqmy/6aabrrrqqoMPPrh3797ffPNN1UUu69at+/DDD1ddrgKAnTFjxoySkpLs7Ox0FwIAQATc0fB/GjVq9PLLLz/66KMdOnSoU6dOZmbmscceO3r06AceeCCE0KtXr2eeeaZOnTpJozp06DBv3rzjjz8+HSUD1AY5OTkHHHBAuqsAACAa7mhINmjQoEGDBoUQYrFY0k0KF1988cknnzxq1Kj3339/w4YNhxxySM+ePQcMGFA1fQAAAIC9k6DhO23zUYiWLVvef//9u78YAAAAqBE8OgEAAABERtAAAAAAREbQAECaDR06tKCgoKKiIt2FAAAQgRSDhhUrVqxYsaKsrGyHPb/++usVK1Z8/vnnqR0IgFpv/PjxEydOLC4uTnchAABEIMWg4bDDDjvssMM++OCDHfZ84YUXDjvssJNPPjm1AwFQ68Viscq/AADUdLv80Yn40o+fffbZrj4QAAAAkHY7u7zlO++889FHHyU1Tpo06f3339/OqC1btjz22GMhhKysrNTqA/F3yYgAACAASURBVAAAAGqQnQ0annrqqccffzyp8Y477tjJ4e3atfseRQEAAAA10+5YdSI3N/e//uu/dsOBAAAAgPTa2Tsafv7zn59//vmVb3v27BlCeOSRRw4//PDtD8zJyWnXrt0BBxyQcokAAABATbGzQUObNm3atGmT1HjyySe3b98+6pIAAACAmmpng4YkN954YwihSZMmkRYDwN4oLy+vrKwsNzc33YUAABCBFIOGBx98MNo6ANhrzZgxo6SkJDs7O92FAAAQgRSDhiTFxcXz5s378ssvS0pKzjvvvMaNG8disYyMjEh2DkDtlpOTk5OTk+4qAACIRnWDhsmTJ99xxx3z58+PxWLxlo4dOzZu3HjIkCGrV6+++uqre/ToUe0iAQAAgJoh9eUtY7HYtdde27t373nz5lWmDJW2bNkyYcKEM88887bbbqu6FQAAAKiVUg8a7rzzzjFjxoQQMjIyTj311MGDByduzcvLiz86MXz48FtvvbWaVQIAAAA1QopBw7Jly4YPHx5CaN68+fTp019//fWRI0cmdrj55ptnz57drFmzEMLIkSNXrFhR/VoBAACAPVyKQcOoUaPKy8tDCE8//fTpp5++zT6dOnUqLCzMyMgoLS194IEHUq8RgFpt6NChBQUFFRUV6S4EAIAIpBg0vPXWWyGEU0455YwzzthOt/bt2/fq1SuE8P7776d2IABqvfHjx0+cOLG4uDjdhQAAEIEUg4alS5eGEDp06LDDnu3btw8hfPzxx6kdCIBaLz5nsJmDAQBqhxSDhi1btoQQsrKydtgzMzMzhLBhw4bUDgQAAADUICkGDQcffHAIYdGiRTvsuWDBghBC06ZNUzsQAAAAUIOkGDR07949hDB9+vSioqLtdFu4cGFhYWEIoVu3bqkdCAAAAKhBUgwarrzyyhBCaWnpZZdd9tlnn22zz+rVq/Pz80tKSkII/fv3T7lEAAAAoKZIMWjo2rXrZZddFkKYO3du27Zt77rrrjfeeCO+6YsvvpgzZ859993XsWPH1atXhxDy8/PPPvvsqCoGAAAA9lj7pTxyzJgx69evf/nll9etWzds2LBhw4bF25Myhc6dOz/77LPVKREAAACoKVK8oyGEkJWVNWnSpJdeeumII47YZodmzZqNGzdu5syZubm5KR8FgFovLy+vUaNG/rEAAKgdUr+jIa5Pnz49e/acOnXqm2++uWrVqg0bNjRo0KB58+Zdu3bNz8+vV69eJFUCUIvNmDGjpKQkOzs73YUAABCB6gYNIYQ6der06dOnT58+1d8VAHuhnJycnJycdFcBAEA0Un90AgAAACBJBHc0JCkvL3/qqadmz57dsGHDbt269ezZc9999438KAAAAMAeqFpBwyuvvPL4449/+OGHn3zySbyltLS0R48eb731VmWfXr16Pf/88w0aNKhWmQAAAEBNkPqjE3fffXefPn0mT578xRdfVDaOGDEiMWUIIRQWFl500UWpFwgAAADUHCkGDUVFRXfddVcsFgshNG7cON5YUVHxhz/8IYTQokWLv/3tbzNnzjzllFNCCIWFhe+9915EBQNQ2wwdOrSgoKCioiLdhQAAEIEUg4bf/e538f8jHDNmzPLly+ONs2bN+vLLL0MII0aM6NGjR9euXV9++eX69euHEB577LFo6gWg1hk/fvzEiROLi4vTXQgAABFIMWhYsGBBCOG00067+uqrKxunTZsWQsjKyqpc6jI3N/fcc88NIXz00UfVrRSAWip+f1z8LwAANV2KQcOnn34aQjjppJMSG995550QQqdOnerVq1fZePjhh1f2BwAAAGq3FIOGrVu3hhBycnIqWyoqKt59990QQteuXRN7xp+w2LBhQ+o1AgAAADVEikFD/D6FytkZQghz5syJpwmnnnpqYs8lS5aEEA455JCUSwQAAABqihSDhqOOOiqE8NJLL1XeqjBu3LgQQnZ29hlnnFHZrbi4+NVXXw0hHHroodWtFAAAANjjpRg0DBw4MISwYcOGHj16PP3003fcccfYsWNDCGeccUbdunXjfZYtW3bFFVd8/fXXIYSzzjorooIBAACAPdd+qQ3r3r37WWedNW3atLlz5w4YMCDemJGRcccdd8RfP/jggzfffHP8dZMmTQYNGlT9WgEAAIA9XIp3NIQQ/vrXv/bt2/f/drTPPvfcc88PfvCD+NvS0tL4i4MOOmjChAmJ61AAQKK8vLxGjRrl5uamuxAAACKQ4h0NIYR69er95S9/WbRo0axZs0IIXbp0adeuXeXW3Nzcs846q1OnTjfccEPTpk0jqBSAWmrGjBklJSXZ2dnpLgQAgAikHjSEEDIyMtq2bdu2bduqmwYOHBifxwEAti8nJydxvWQAAGq01B+dAAAAAEgiaAAAAAAiI2gAAAAAIiNoAAAAACIjaAAgzYYOHVpQUFBRUZHuQgAAiICgAYA0Gz9+/MSJE4uLi9NdCAAAERA0AJBmsVis8i8AADWdoAEAAACIjKABAAAAiIygAQAAAIjMfpHspbi4eN68eV9++WVJScl5553XuHHjWCyWkZERyc4BAACAmqK6QcPkyZPvuOOO+fPnV07i1bFjx8aNGw8ZMmT16tVXX311jx49ql0kAAAAUDOk/uhELBa79tpre/fuPW/evKpThW/ZsmXChAlnnnnmbbfdZiJxAAAA2EukHjTceeedY8aMCSFkZGSceuqpgwcPTtyal5cXf3Ri+PDht956azWrBKAWy8vLa9SoUW5ubroLAQAgAikGDcuWLRs+fHgIoXnz5tOnT3/99ddHjhyZ2OHmm2+ePXt2s2bNQggjR45csWJF9WsFoFaaMWPG0qVLs7Oz010IAAARSDFoGDVqVHl5eQjh6aefPv3007fZp1OnToWFhRkZGaWlpQ888EDqNQJQq+Xk5BxwwAHprgIAgGikGDS89dZbIYRTTjnljDPO2E639u3b9+rVK4Tw/vvvp3YgAAAAoAZJMWhYunRpCKFDhw477Nm+ffsQwscff5zagQAAAIAaJMWgYcuWLSGErKysHfbMzMwMIWzYsCG1AwEAAAA1SIpBw8EHHxxCWLRo0Q57LliwIITQtGnT1A4EAAAA1CApBg3du3cPIUyfPr2oqGg73RYuXFhYWBhC6NatW2oHAqDWGzp0aEFBQUVFRboLAQAgAikGDVdeeWUIobS09LLLLvvss8+22Wf16tX5+fklJSUhhP79+6dcIgC12/jx4ydOnFhcXJzuQgAAiECKQUPXrl0vu+yyEMLcuXPbtm171113vfHGG/FNX3zxxZw5c+67776OHTuuXr06hJCfn3/22WdHVTEAtUwsFqv8CwBATbdfyiPHjBmzfv36l19+ed26dcOGDRs2bFi8PSlT6Ny587PPPludEgEAAICaIsU7GkIIWVlZkyZNeumll4444ohtdmjWrNm4ceNmzpyZm5ub8lEAAACAGiT1Oxri+vTp07Nnz6lTp7755purVq3asGFDgwYNmjdv3rVr1/z8/Hr16kVSJQAAAFAjVDdoCCHUqVOnT58+ffr0qf6u9kCbNm1at27dpk2bNm7cmJWV1aBBg8aNGzdo0CDddQEAAMCeKIKgofb54osv/vKXv0yZMmXx4sUrVqyoOj9Z8+bN27Ztm5+f37dv3xYtWqSlSAAAANgDpT5HQ620fv36G2+8sUWLFtdff/3kyZOXL1++zVnQ//nPf06dOvWGG25o1arVwIEDLckGAAAAcdW6o+Gzzz6bMWPG+++/X1JSssPOo0aNqs6xdoNly5adeeaZn376aWVLTk5Oy5YtmzVrVrdu3aysrNLS0s2bN69Zs2blypWbNm0KIZSVlT3xxBPTpk2bMmXK0Ucfnb7aAWqwvLy8srIyMwcDANQOqQcNf/3rX6+88soNGzbsZP89PGgoLS0999xz4ylDs2bNrr322vPOO69du3b77rtv1c6xWKyoqKiwsHD06NEff/zxp59+2rdv37lz5+bk5Oz2wgFqvBkzZpSUlGRnZ6e7EAAAIpDioxPLli3r16/fzqcMe76xY8cuXrw4hNC7d++ioqJhw4Z16NBhmylDCCEjI6NNmza33HLLwoULr7/++hBCUVHRmDFjdmvFALVFTk7OAQcckO4qAACIRopBw7333ltaWhpCOOGEEyZPnrxq1ariHYm07Og999xzIYRmzZq98MILO3/7bp06dUaNGtWlS5cQwoQJE3ZhfQAAAFATpPjoxJw5c0IIhxxyyJtvvlm3bt1IS0qPoqKiEMJ55533fR9/yMjI6Nev39tvv71kyZJdUxoAAADUGCne0fDJJ5+EEK688srakTKEEDZv3hxCaNCgQQpj43f8xqeHBAAAgL1ZKkHD5s2bv/nmmxBCy5Yto64nbeKfJX6nxvcVH9WiRYuIawIAAICaJpWgIRaL7bPPPiGEDz/8MOp60iY/Pz+E8Pe///2FF174XgPfe++9cePGhRB69OixSyoDqO2GDh1aUFBQUVGR7kIAAIhAKkFDvXr1unbtGkIoLCwsKyuLuqT0+NnPfhafnaF///5Dhgz5/PPPdzhk/fr1I0aM6N69++bNmzMzMwcNGrTrywSohcaPHz9x4sQ9f9pgAAB2RoqTQT7wwAPdunVbvHjxTTfdNGrUqIyMjGjL2v1atWr10EMPXXfddVu3br3//vsffPDBk0466Qc/+EGrVq0OPvjgunXrZmVllZWVbd68ec2aNcuXL58zZ86sWbO2bNkSH37fffe1a9cuvR8BoIaKxWKVfwEAqOlSDBpOPPHEv/71r5dddtkjjzwyZ86cO++8s1OnTgcddFC0xe1m11xzTb169W644Ya1a9du3bp11qxZs2bN2uGoBg0ajBo1asCAAbuhQgAAANjDpRg0nHvuuSGEQw45ZN26dbNnzz7nnHNCCPXr18/Ozv6uIV9++WVqx9qdLrnkkl69ej388MMTJkz44IMPtt+5devWP/7xjwcPHty4cePdUx4AAADs4VIMGl555ZWqjRs3bty4cWP16km/hg0b3n777bfffvvKlSsXLVr0wQcfrF27duPGjZs3b87Ozq5fv36TJk1at27dtm3bQw89dJdW8s033+ww7Nim+FKdAAAAsPulGDR069Yt2jr2QC1btmzZsmV8NYq0uOqqq5577rmUh3/22WcRFgMAAAA7I8Wg4c0334y2Dqrq2bPnJ598ksJ6b0VFRZs3b95///13RVUAAACwHSkGDXut1atXz507d926dY0aNTruuOMOP/zwXXesyy+//PLLL09hYMeOHefNm1e/fv3ISwIAAIDtEzQkW7BgwcSJE5csWTJhwoTE9k8//XTgwIHTpk1LbOzQocPjjz9+0kkn7d4aAWqVvLy8srKy3NzcdBcCAEAEogkaiouL582b9+WXX5aUlJx33nmNGzeOxWIZGRmR7Hy3qaiouOeee+6+++6KiorjjjsucdNTTz3105/+tOoki/Pnz+/atetNN900YsSIGvd5AfYQM2bMKCkp2c66RQAA1CDVDRomT558xx13zJ8/PxaLxVs6duzYuHHjIUOGrF69+uqrr+7Ro0e1i9xNBg0aNHr06Pjr/fb7vzNTVFR03XXXlZSUhBCaNm166qmnHnnkkf/617/mzJnz/vvvl5eX/+53vzv88MMHDhyYnroBaricnJycnJx0VwEAQDT2SXlkLBa79tpre/fuPW/evMqUodKWLVsmTJhw5pln3nbbbVW37oHefvvtMWPGhBDq16//+OOPJ852ecUVV8RThhtvvPGTTz55/vnn77333tGjR8+fP//5559v1KhRCOEXv/jFihUr0lU8AAAA7CFSDxruvPPO+DfzjIyMU089dfDgwYlb8/Ly4o8SDB8+/NZbb61mlbvBQw89FH/c49VXX73uuusqZ1L8xz/+MXv27BDCOeec8+CDD9arVy9xVEFBwdixY0MIGzdufOCBB3Z/2QAAALBHSTFoWLZs2fDhw0MIzZs3nz59+uuvvz5y5MjEDjfffPPs2bObNWsWQhg5cuSe/2v/okWLQghnn312165dE9vnzJkTf/GLX/ximwP79u174oknhhD+9re/7eIaAQAAYE+XYtAwatSo8vLyEMLTTz99+umnb7NPp06dCgsLMzIySktL9/xf+z/99NMQQtIckCGEdevWxV+0bdv2u8bGg4ZVq1btsuoAAACgZkgxaHjrrbdCCKeccsoZZ5yxnW7t27fv1atXCOH9999P7UC7TZMmTUIIX3/9dVJ7fAqGEMKWLVu+a2yNmIQCYI81dOjQgoKCioqKdBcCAEAEUgwali5dGkLo0KHDDnu2b98+hPDxxx+ndqDdJl7n5MmTy8rKEtuPP/74+IvtZCXvvvtuCKFFixa7skCAWmv8+PETJ04sLi5OdyEAAEQgxaAh/vN+VlbWDntmZmaGEDZs2JDagXabK664IoTwz3/+c/DgwYl3KHTq1KlNmzYhhHvvvXebv7a98MIL8+bNCyGcddZZu6lWgNol/l9dd4cBANQOKQYNBx98cPj/J1DcvgULFoQQmjZtmtqBdpvzzz//1FNPDSE89thjZ599djw7iHviiScyMzPffvvtQYMGbdq0KXHUCy+8cN1114UQMjMzr7322t1cMwAAAOxp9kttWPfu3T/55JPp06cXFRUdc8wx39Vt4cKFhYWFIYRu3bqlWODuss8++zzzzDOnn3760qVLp02bNm3atGOOOebUU09t0aJF06ZNr7nmmkcffXT06NGFhYU//OEPW7du/c9//vPtt9+OPzQRQrj33nuPPfbY9H4EAAAASLsUg4Yrr7xy7NixpaWll1122aRJk+I3OCRZvXp1fn5+SUlJCKF///7VKnO3OOSQQ955550rrrhi8uTJIYSioqKioqKkPqtWrXryyScTW3Jych544IGBAwfuvkIBAABgT5XioxNdu3a97LLLQghz585t27btXXfd9cYbb8Q3ffHFF3PmzLnvvvs6duy4evXqEEJ+fv7ZZ58dVcW71IEHHvjKK6/MmDGjb9++devW3X7nAw444Kqrrvrwww+lDAAAABCX4h0NIYQxY8asX7/+5ZdfXrdu3bBhw4YNGxZvT8oUOnfu/Oyzz1anxN3v9NNPP/3007/55pv58+d/+OGHy5Yt27hx4+bNm8vLy+vWrVu/fv28vLw2bdqcdNJJ8akuAQAAgLjUg4asrKxJkyZNmjTplltu+eSTT6p2aNas2W9+85sBAwbss0+K902kV05OTteuXbt27ZruQgAAAKDGSD1oiOvTp0/Pnj2nTp365ptvrlq1asOGDQ0aNGjevHnXrl3z8/Pr1asXSZUA1GJ5eXllZWW5ubnpLgQAgAhUN2gIIdSpU6dPnz59+vSp/q4A2AvNmDGjpKQkOzs73YUAABCBCIIGAKiOnJycnJycdFcBAEA0auTsCQAAAMCeKcU7Gp588smd7JmTk1O3bt3GjRsfddRR//Ef/5Ha4QAAAIAaIcWg4eqrr05hVMuWLS+66KIhQ4YceOCBqR0XAAAA2JPt1kcnVq5cef/997du3fr111/fnccFAAAAdo8U72goLi5etWpVr1691qxZE0Jo3bp1jx49DjnkkKZNm3755ZcrV678+9//vnDhwhBC//79f/jDH27YsGHJkiV//vOfP//887Vr15533nmLFy9u3rx5lB8FgJpp6NChS5cunTBhwj77mDkIAKDGSzFoaNCgwYABA9asWdOkSZM//vGP+fn5GRkZSX2mTp16xRVXPPfcc127dv35z38eQvj9738/bty4gQMHbtiwYfjw4Y888kh1yweg5hs/fvyaNWsefvjhgw46KN21AABQXSn+dvToo48uWLAgKyvrpZdeOuecc6qmDCGEnj17vvTSS5mZmTfccMPMmTNDCJmZmdddd93gwYNDCC+++GJ16gag1ojFYpV/AQCo6VIMGv70pz+FELp169alS5ftdPvBD35w2mmnlZeX//a3v61s7NevXwhhzZo1K1asSO3oAAAAwJ4pxaDh448/DiF07Nhxhz07deoUQnj33XcrW1q3bh1/8a9//Su1owMAAAB7phSDhvgNrp9//vkOe8b7bNy4MWlsCKFu3bqpHR0AAADYM6UYNBx11FEhhNdff72kpGQ73UpLS+MrWcb7xy1atCiEkJGR0apVq9SODgAAAOyZUgwa4vMsrFy5csCAAd81fVcsFrvqqqs+/fTTEMLFF18cbywtLb3nnntCCK1bt87JyUnt6AAAAMCeKcWg4frrrz/yyCNDCM8///yxxx47duzYlStXbt26NYSwdevWVatWjR8/vl27ds8880wI4eijj77hhhtCCKNHjz7xxBOnTZsWQvjVr34V2YcAAAAA9gz7pTYsJydn8uTJPXr0WLVqVVFR0TXXXBNC2GeffRo1avTVV1+Vl5dX9jzssMOmTp2anZ0dQnjssccWLFgQQjjrrLMuueSSKOoHoMbLy8srKyvLzc1NdyEAAEQgxTsaQghHHnnkwoULb7/99gYNGsRbKioqiouLE1OGCy64YO7cuYcddlhlS7169W688cYpU6bss0/qhwagNpkxY8bSpUvjkTQAADVdinc0xOXm5t5999033HDDc88999FHHy1ZsuTTTz+tU6dO06ZNu3TpUlBQ0K5du8T+f/zjH9u0aVOnTp3q1QxArZKTk2PWHgCAWqNaQUPcgQce+POf/3xneh5//PHVPxwAAACwx/L8AgAAABAZQQMAAAAQGUEDAAAAEBlBAwBpNnTo0IKCgoqKinQXAgBABAQNAKTZ+PHjJ06cWFxcnO5CAACIgKABgDSLxWKVfwEAqOkEDQAAAEBkBA0AAABAZAQNAAAAQGQEDQAAAEBk9otkL8XFxfPmzfvyyy9LSkrOO++8xo0bx2KxjIyMSHYOAAAA1BTVDRomT558xx13zJ8/v3K28I4dOzZu3HjIkCGrV6+++uqre/ToUe0iAQAAgJoh9UcnYrHYtdde27t373nz5lVdk2zLli0TJkw488wzb7vtNiuWAbAdeXl5jRo1ys3NTXchAABEIPWg4c477xwzZkwIISMj49RTTx08eHDi1ry8vPijE8OHD7/11lurWSUAtdiMGTOWLl2anZ2d7kIAAIhAikHDsmXLhg8fHkJo3rz59OnTX3/99ZEjRyZ2uPnmm2fPnt2sWbMQwsiRI1esWFH9WgGolXJycg444IB0VwEAQDRSDBpGjRpVXl4eQnj66adPP/30bfbp1KlTYWFhRkZGaWnpAw88kHqNAAAAQA2RYtDw1ltvhRBOOeWUM844Yzvd2rdv36tXrxDC+++/n9qBAAAAgBokxaBh6dKlIYQOHTrssGf79u1DCB9//HFqBwIAAABqkBSDhi1btoQQsrKydtgzMzMzhLBhw4bUDgQAAADUICkGDQcffHAIYdGiRTvsuWDBghBC06ZNUzsQALXe0KFDCwoKKioq0l0IAAARSDFo6N69ewhh+vTpRUVF2+m2cOHCwsLCEEK3bt1SOxAAtd748eMnTpxYXFyc7kIAAIhAikHDlVdeGUIoLS297LLLPvvss232Wb16dX5+fklJSQihf//+KZcIQO0Wi8Uq/wIAUNOlGDR07dr1sssuCyHMnTu3bdu2d9111xtvvBHf9MUXX8yZM+e+++7r2LHj6tWrQwj5+flnn312VBUDAAAAe6z9Uh45ZsyY9evXv/zyy+vWrRs2bNiwYcPi7UmZQufOnZ999tnqlAgAAADUFCne0RBCyMrKmjRp0ksvvXTEEUdss0OzZs3GjRs3c+bM3NzclI8CAAAA1CCp39EQ16dPn549e06dOvXNN99ctWrVhg0bGjRo0Lx5865du+bn59erVy+SKgEAAIAaobpBQwihTp06ffr06dOnT/V3BQAAANRoqT86AQAAAJAkgjsaAKA68vLyysrKTOgDAFA7VCtoWLNmzRtvvLFgwYKSkpIddr7//vurcywAaqsZM2aUlJRkZ2enuxAAACKQetDw4osvXnXVVevXr9/J/oIGALYpJycnJycn3VUAABCNFIOGpUuX9uvXr6ysLNpqAAAAgBotxaDh3nvvjacMxx9//N13392mTRu3vAIAAAApBg1z584NIbRo0WLmzJl169aNtCQAAACgpkpxeculS5eG/4+9ew+Lss7/P/4ekMOAIyieAEWhPEQJmaZ5NtFSPG9mlnmplZaVllp947trutZa36y0RWtTU8q2UDPTSkyTLItUwBRBPAGKiiigIAc5z++P22X9eQC8uZl7Zng+rr3o9p7PZ+4Xe/lx8OV9EJk6dSotAwAAAAAAqKKyaHBxcRGR9u3ba5kFANAghYWFjR8/vrKyUu8gAAAA0IDKoqFDhw4icvToUU3DAAAaooiIiA0bNmRnZ+sdBAAAABpQWTQ8/vjjIhIVFcWDJwAAdWQ2m6u+AgAAwNapLBpeeOGF++6779ChQ7Nnz9Y2EAAAAAAAsF0qiwYnJ6etW7d27dp1+fLl999///fff5+VlaVtMgAAAAAAYHNq9XjLtm3b3nR/cXGxiMTFxY0cOVJETCaTh4fHrd7k9OnTqhICAAAAAACbUaui4cyZM7UZlp+fn5+fX7c8AAAAAADAhtWqaOjbt2995wAAAAAAAHagVkXD7t276zsHAAAAAACwA7UqGgAAqD/+/v5lZWXV3OUHAAAANkRl0XDq1CkR8fHxcXJyqn7k5cuXL1265Ozs7O3tre5YAAD7Fh0dXVJS4urqqncQAAAAaEDl4y3bt2/fvn37w4cP1zhy/fr17du379Onj7oDAQDsntFo9PT01DsFAAAAtKGyaKg9Z2dnEcnIyKjvAwEAAAAAAN3V9tKJPXv2HD169LqdW7ZsOXDgQDWziouLP/74YxFxcXFRlw8AAAAAANiQ2hYNn3322b/+9a/rdr7xxhu1nB4UFHQboQAAAAAAgG2q90snRMTDtqfcXgAAIABJREFUw+Ptt9+2wIEAAAAAAIC+antGw8yZM8eMGVP1y6FDh4rI8uXL77jjjuonGo3GoKAg273LV2Fh4cWLFwsLCwsKClxcXEwmk5eXl8lk0jsXANiPsLCwlJSUyMhIBwdL1N8AAACoV7UtGgIDAwMDA6/b2adPn+DgYK0j6e/8+fMbN27cunVrUlLSqVOnzGbzdQN8fX27dOkSGho6duzYNm3a6BISAOxGREREZmbmsmXLWrZsqXcWAAAA1FVti4brvPzyyyLSokULTcPoLzc3d8GCBcuXLy8vL69m2NmzZ8+ePbtt27a5c+c+9dRTb731VvPmzS0WEgDsjNLn3tjqAgAAwBapLBqWLFmibQ5rkJaWNnjw4NTU1Ko9RqPRz8/P29vbzc3NxcWltLS0qKgoMzMzPT29sLBQRMrKyj755JMdO3Zs3bq1U6dO+mUHAAAAAMAqqCwa7E9paenIkSOVlsHb23v69OmjR48OCgpydHS8cbDZbE5OTo6KilqxYsWxY8dSU1PHjh0bHx9vNBotHhwAAAAAACvCbbeuWrVqVVJSkoiMGDEiOTl5wYIFXbt2vWnLICIGgyEwMHDu3LmHDh164YUXRCQ5OXnlypUWTQwAAAAAgPWhaLjqq6++EhFvb+/169d7eHjUcpazs3N4eHivXr1EJDIysh7zAQAAAABgCygarkpOThaR0aNH3+7lDwaDYcKECSJy/PjxekkGAAAAAIDtoGi4qqioSERMJpOKuZ6eniKi3B4SAAAAAICGjKLhKj8/PxGJjY1VMVeZ1aZNG40zAUDD4O/v36xZs9pftgYAAABrRtFwVWhoqIjs2rVr/fr1tzUxLi5u9erVIhISElIvyQDA3kVHR6ekpLi6uuodBAAAABqgaLjqxRdfVO7OMHHixNdee+3cuXM1TsnNzX333XcHDhxYVFTk5OQ0Y8aM+o8JAHbIaDQq16ABAADADjTSO4C1CAgI+PDDD5999tny8vLFixcvWbKkR48ePXv2DAgI8PHxcXNzc3FxKSsrKyoqyszMPHnyZGxsbExMTHFxsTL9nXfeCQoK0vdbAAAAAABAdxQN/zVt2jR3d/dZs2bl5OSUl5fHxMTExMTUOMtkMoWHh0+ePNkCCQEAAAAAsHJ1KhoyMjKio6MPHDhQUlJS4+Dw8PC6HMsynnjiiWHDhi1btiwyMvLw4cPVD+7cufOjjz760ksveXl5WSYeAAAAAABWTn3RsGnTpqlTp+bl5dVyvE0UDSLStGnTefPmzZs3Lz09PTEx8fDhwzk5OQUFBUVFRa6uro0bN27RokXnzp27dOnSrl07vcMCAAAAAGBdVBYNaWlpEyZMKC0t1TaNVfHz8/Pz81OeRqGL9evXr1y5UsXE48ePi0hhYaHWiQCgXoSFhaWkpERGRjo4cItiAAAAm6eyaHjrrbeUluG+++578803g4KClEc2QENff/31Tz/9pHp6bm6uhmEAoP5ERERkZmYuW7asZcuWemcBAABAXaksGmJjY0Wkbdu2u3fvdnNz0zSSDZg6daqIDB8+fNy4cfV3lE8//XT69OkqJj7//PPHjx/39fXVPBIA1Aez2Vz1FQAAALZOZdFw4sQJEZk6dWoDbBlEJCIiQkRat25dr0WDyWQaPHiwuomahwEAAAAAoDbUXA1bVFR05coVEfHz89M6DwAAAAAAsGFqzmgwm80ODg6VlZVHjhzRPJBedu7cebtTTp48ed2skJAQ7RIBAAAAAGB71BQN7u7uvXv3/u2336KiohYtWuTk5KR5LMtTcZFCZGRkZGTktXu4wBgAAAAA0MCpfJDYBx984OzsnJSUNHv2bPv427Wzs7PeEQAAAAAAsHkqbwZ5//33b9q0adKkScuXL4+NjZ0/f3737t1t+rFke/bsmThxYnJysog4OjpOnjy5WbNmtxr83nvviUiPHj369+9vuYgAAAAAAFg9lUXDyJEjRaRt27YXL17ct2/f8OHDRaRx48aurq63mpKVlaXuWJbRtWvX+Pj4V1555aOPPqqoqPjxxx/XrFkzZMiQmw5WioZBgwa9/fbblo0JAHbI39+/rKzMw8ND7yAAAADQgMqi4fvvv79xZ0FBQUFBQd3y6MloNC5fvjw0NPTpp58+e/bsww8/PHPmzHfeecdoNOodDQDsWXR0dElJSTVVNQAAAGyIyqKhb9++2uawHsOHD09ISHj66ae///77f/7zn9u3b//iiy+6deumdy4AsFtGo5FKFwAAwG6oLBp2796tbQ6r0rJly+++++7jjz9+5ZVXjhw50qtXr/nz57/++uuOjo56RwMAAAAAwKqpfOpEQzBjxoz4+Pj77ruvrKzsb3/7W79+/VJSUvQOBQAAAACAVaNoqE7nzp337NnzP//zPw4ODn/88UdwcPDKlSv1DgUAAAAAgPWiaKiBk5PTO++8Ex0d7efnV1hYOH36dOWJGwAAAAAA4Ea1ukfD/fffr2zMnz9/xIgR1+6pvdjY2NudYj0GDBhw8ODBGTNmREZG3vSJGwAA1cLCwlJSUiIjIx0cqL8BAABsXq2Khri4OGUjJyfnuj0Nh6en51dffTV8+PAXXnjh8uXLescBAPsRERGRmZm5bNmyli1b6p0FAAAAdVWroqFNmzbKhpubm7Jx55131lci6/bkk0+OGjUqPz9fREwmk95xAMAemM3mqq8AAACwdbUqGk6fPn3dnuPHj9dDGNvQpEmTJk2a6J0CAAAAAABrxNWwAAAAAABAMxQNAAAAAABAMxQNAAAAAABAMxQNAAAAAABAMxQNAAAAAABAM7V66gQAAPXH39+/rKzMw8ND7yAAAADQAEUDAEBn0dHRJSUlrq6uegcBAACABigaAAA6MxqNRqNR7xQAAADQBvdoAAAAAAAAmqFoAAAAAAAAmqFoAAAAAAAAmtH+Hg0VFRWfffbZvn37mjZt2rdv36FDhzo6Omp+FAAAAAAAYIXqVDR8//33//rXv44cOXLixAllT2lpaUhIyG+//VY1ZtiwYevWrTOZTHWKCQCwX2FhYSkpKZGRkQ4OnGcHAABg89T/SLdw4cJRo0b98MMP58+fr9r57rvvXtsyiEhUVNRjjz2mPiAAwN5FRERs2LAhOztb7yAAAADQgMqiITk5+e9//7vZbBYRLy8vZWdlZeU///lPEWnTps1PP/30+++/9+vXT0SioqLi4uI0CgwAsDfKp4nyFQAAALZOZdHw3nvvVVZWisjKlStPnjyp7IyJicnKyhKRd999NyQkpHfv3t99913jxo1F5OOPP9YmLwAAAAAAsGIqi4aEhAQRGTBgwDPPPFO1c8eOHSLi4uIyatQoZY+Hh8fIkSNF5OjRo3VNCgAAAAAArJ7KoiE1NVVEevToce3OPXv2iEj37t3d3d2rdt5xxx1V4wEAAAAAgH1TWTSUl5eLiNForNpTWVm5d+9eEendu/e1I5UrLPLy8tRnBAAAAAAANkJl0aCcp1B1dwYRiY2NVdqE/v37Xzvy+PHjItK2bVvVEQEAAAAAgK1QWTR07NhRRDZv3lx1qsLq1atFxNXVddCgQVXDsrOzf/zxRxFp165dXZMCAAAAAACrp7JoeO6550QkLy8vJCTk888/f+ONN1atWiUigwYNcnNzU8akpaVNmTLl8uXLIjJkyBCNAgMA7I2/v3+zZs08PDz0DgIAAAANNFI3beDAgUOGDNmxY0d8fPzkyZOVnQaD4Y033lC2lyxZMmfOHGW7RYsWM2bMqHtWAIBdio6OLikpcXV11TsIAAAANKDyjAYR2bRp09ixY//7Rg4Ob775Zs+ePZVflpaWKhstW7aMjIy89jkUAABcy2g0enp66p0CAAAA2lB5RoOIuLu7b9y4MTExMSYmRkR69eoVFBRU9aqHh8eQIUO6d+8+a9as1q1ba5AUAAAAAABYPfVFg4gYDIYuXbp06dLlxpeee+455T4OAAAAAACg4VB/6QQAAAAAAMB16nRGQ5Xs7Oz9+/dnZWWVlJSMHj3ay8vLbDYbDAZN3hwAAAAAANiKuhYNP/zwwxtvvPHnn3+azWZlT7du3by8vF577bUzZ84888wzISEhdQ4JALBnYWFhKSkpkZGRDg6cZwcAAGDz1P9IZzabp0+fPmLEiP3791e1DFWKi4sjIyMHDx7817/+9cZXAQCoEhERsWHDhuzsbL2DAAAAQAPqi4b58+evXLlSRAwGQ//+/V966aVrX/X391cunVi0aNHrr79ex5QAADum9NG00gAAAPZBZdGQlpa2aNEiEfH19d25c+cvv/yydOnSawfMmTNn37593t7eIrJ06dJTp07VPSsAAAAAALByKouG8PDwiooKEfn8888ffPDBm47p3r17VFSUwWAoLS394IMP1GcEAAAAAAA2QmXR8Ntvv4lIv379Bg0aVM2w4ODgYcOGiciBAwfUHQgAAAAAANgQlUVDSkqKiHTt2rXGkcHBwSJy7NgxdQcCAAAAAAA2RGXRUFxcLCIuLi41jnRychKRvLw8dQcCAAAAAAA2RGXR4OPjIyKJiYk1jkxISBCR1q1bqzsQAAAAAACwISqLhoEDB4rIzp07k5OTqxl26NChqKgoEenbt6+6AwEA7J6/v3+zZs08PDz0DgIAAAANqCwapk6dKiKlpaWTJk3KyMi46ZgzZ86EhoaWlJSIyMSJE1VHBADYt+jo6JSUFFdXV72DAAAAQAMqi4bevXtPmjRJROLj47t06fL3v//9119/VV46f/58bGzsO++8061btzNnzohIaGjoww8/rFViAICdMRqNnp6eeqcAAACANhqpnrly5crc3Nzvvvvu4sWLCxYsWLBggbL/uk7hgQce+PLLL+sSEQAAAAAA2AqVZzSIiIuLy5YtWzZv3nznnXfedIC3t/fq1at///13LrsFAAAAAKCBUH9Gg2LUqFFDhw7dtm3b7t27T58+nZeXZzKZfH19e/fuHRoa6u7urklKAAAAAABgE+paNIiIs7PzqFGjRo0aVfe3AgAAAAAANk39pRMAAGgiLCxs/PjxlZWVegcBAACABigaAAA6i4iI2LBhQ3Z2tt5BAAAAoIE6XTqRkZERHR194MCBkpKSGgeHh4fX5VgAAHtlNpurvgIAAMDWqS8aNm3aNHXq1Ly8vFqOp2gAAAAAAMDuqSwa0tLSJkyYUFpaqm0aAAAAAABg01QWDW+99ZbSMtx3331vvvlmUFCQ0WjUNBgAAAAAALA9KouG2NhYEWnbtu3u3bvd3Nw0jQQAAAAAAGyVyqdOnDhxQkSmTp1KywAAAAAAAKqoKRqKioquXLkiIn5+flrnAQAAAAAANkzNpRNms9nBwaGysvLIkSOaBwIANDT+/v5lZWUeHh56BwEAAIAG1JzR4O7u3rt3bxGJiooqKyvTOhIAoGGJjo5OSUlxdXXVOwgAAAA0oPIeDR988IGzs3NSUtLs2bPNZrO2mQAADYrRaPT09NQ7BQAAALShsmi4//77N23a1KxZs+XLlz/wwANbt269cOGCtskAAAAAAIDNUfl4y5EjR4pI27ZtL168uG/fvuHDh4tI48aNqznxNSsrS92xAAAAAACArVBZNHz//fc37iwoKCgoKKhbHgAAAAAAYMNUFg19+/bVNgcAAAAAALADKouG3bt3a5sDANBghYWFpaSkREZGOjiovHMQAAAArAc/0gEAdBYREbFhw4bs7Gy9gwAAAEADFA0AAJ0pj0nmYckAAAD2QeWlE9fJzs7ev39/VlZWSUnJ6NGjvby8zGazwWDQ5M0BAAAAAICtqGvR8MMPP7zxxht//vln1b9EdevWzcvL67XXXjtz5swzzzwTEhJS55AAAAAAAMA2qL90wmw2T58+fcSIEfv377/xfNfi4uLIyMjBgwf/9a9/5WxYAAAAAAAaCPVFw/z581euXCkiBoOhf//+L7300rWv+vv7K5dOLFq06PXXX69jSgAAAAAAYBNUFg1paWmLFi0SEV9f3507d/7yyy9Lly69dsCcOXP27dvn7e0tIkuXLj116lTdswIAAAAAACunsmgIDw+vqKgQkc8///zBBx+86Zju3btHRUUZDIbS0tIPPvhAfUYAAAAAAGAjVBYNv/32m4j069dv0KBB1QwLDg4eNmyYiBw4cEDdgQAAds/f379Zs2YeHh56BwEAAIAGVBYNKSkpItK1a9caRwYHB4vIsWPH1B0IAGD3oqOjU1JSXF1d9Q4CAAAADah8vGVxcbGIuLi41DjSyclJRPLy8tQdSHeFhYUXL14sLCwsKChwcXExmUxeXl4mk0nvXABgP4xGo9Fo1DsFAAAAtKGyaPDx8Tlx4kRiYmKNIxMSEkSkdevW6g6ki/Pnz2/cuHHr1q1JSUmnTp268fGcvr6+Xbp0CQ0NHTt2bJs2bXQJCQAAAACAFVJ56cTAgQNFZOfOncnJydUMO3ToUFRUlIj07dtX3YEsLDc39+WXX27Tps0LL7zwww8/nDx58saWQUTOnj27bdu2WbNmBQQEPPfcc9nZ2ZaPCgAAAACAFVJ5RsPUqVNXrVpVWlo6adKkLVu2+Pj43DjmzJkzoaGhJSUlIjJx4sQ6xbSItLS0wYMHp6amVu0xGo1+fn7e3t5ubm4uLi6lpaVFRUWZmZnp6emFhYUiUlZW9sknn+zYsWPr1q2dOnXSLzsAAAAAAFZBZdHQu3fvSZMmrV27Nj4+vkuXLrNmzap6yOX58+djY2N37ty5ZMmSCxcuiEhoaOjDDz+sWeT6UVpaOnLkSKVl8Pb2nj59+ujRo4OCghwdHW8cbDabk5OTo6KiVqxYcezYsdTU1LFjx8bHx3ONMQAAAACggVN56YSIrFy5cuTIkSJy8eLFBQsWDBgwQNn/8MMP9+jRIywsTGkZHnjggS+//FKTrPVq1apVSUlJIjJixIjk5OQFCxZ07dr1pi2DiBgMhsDAwLlz5x46dOiFF14QkeTk5JUrV1o0MQDYi7CwsPHjx1dWVuodBAAAABpQXzS4uLhs2bJl8+bNd955500HeHt7r169+vfff7eJR6N/9dVXIuLt7b1+/fraB3Z2dg4PD+/Vq5eIREZG1mM+ALBfERERGzZs4H43AAAA9kHlpRNVRo0aNXTo0G3btu3evfv06dN5eXkmk8nX17d3796hoaHu7u6apLQA5a6Wo0ePvt3LHwwGw4QJE/7444/jx4/XTzQAsHPKbXdvevNdAAAA2Jy6Fg0i4uzsPGrUqFGjRtX9rXRUVFQkIiaTScVcT09PEVFuDwkAAAAAQEOm/tIJO+Pn5ycisbGxKuYqs9q0aaNxJgAAAAAAbA1Fw1WhoaEismvXrvXr19/WxLi4uNWrV4tISEhIvSQDAAAAAMB2qLx04tNPP63lSKPR6Obm5uXl1bFjx1atWqk7nAW8+OKL//rXv65cuTJx4sS4uLjZs2d7e3tXPyU3N3fFihULFy4sKipycnKaMWOGZaICAAAAAGC1VBYNzzzzjIpZfn5+jz322Guvvda8eXN1x60/AQEBH3744bPPPlteXr548eIlS5b06NGjZ8+eAQEBPj4+bm5uLi4uZWVlRUVFmZmZJ0+ejI2NjYmJKS4uVqa/8847QUFB+n4LAAAAAADoToObQdZeenr64sWLV69evXHjxgEDBljy0LUxbdo0d3f3WbNm5eTklJeXx8TExMTE1DjLZDKFh4dPnjzZAgkBAAAAALByKouG7Ozs06dPDxs2LDMzU0Q6d+4cEhLStm3b1q1bZ2Vlpaen79q169ChQyIyceLEhx56KC8v7/jx419//fW5c+dycnJGjx6dlJTk6+ur5beihSeeeGLYsGHLli2LjIw8fPhw9YM7d+786KOPvvTSS15eXpaJBwB2yd/fv6yszMPDQ+8gAAAA0IDKosFkMk2ePDkzM7NFixZr1qwJDQ01GAzXjdm2bduUKVO++uqr3r17z5w5U0Tef//91atXP/fcc3l5eYsWLVq+fHld49eDpk2bzps3b968eenp6YmJiYcPH87JySkoKCgqKnJ1dW3cuHGLFi06d+7cpUuXdu3a1WuSy5cv79u3T8XE/Px8zcMAQP2Jjo4uKSlxdXXVOwgAAAA0YDCbzSqmLV26dPbs2S4uLj///HOvXr1uNWzv3r0DBgwoLy//5Zdf+vTpo+x8+eWXP/zww9atW587d05l6oZh/PjxGzZsUD29W7ducXFxGuYBAAAAANyWSZMmffHFF2vXrn3yySf1zmI5Ks9o+Pe//y0iffv2raZlEJGePXsOGDBg+/bt//d//7dlyxZl54QJEz788MPMzMxTp07V90kBNm38+PGXLl1SMXHv3r35+flNmzbVPBIAAAAAANVTWTQcO3ZMRLp161bjyO7du2/fvn3v3r1Vezp37qxsXLhwwTqLhvLy8j///DMjI6Nly5YdO3as8RYMKSkpBQUFIhIcHKxhjHHjxo0bN07FxG7duu3fv9/d3V3DMAAAAAAA1IaDumnKBRe1ufZBGaP8PfzauSLi5uam7uj1x2w2L1u2rFWrVj169BgzZkzv3r1btGgxbty4hISEamY988wz995777333muxnAAAAAAAWCeVRUPHjh1F5JdffikpKalmWGlp6S+//FI1XpGYmCgiBoMhICBA3dHrSXZ29tChQ2fOnHnx4sWqnWazeePGjT169Ni4caOO2QAAAAAAsAkqi4YJEyaISHp6+uTJk291O0mz2fz000+npqaKyOOPP67sLC0tffPNN0Wkc+fORqNR3dHryezZs7dv3y4iBoPh/vvvnz59+pNPPtmmTRsRKSkpGT9+/KZNm/TOCAB2KCwsbPz48ZWVlXoHAQAAgAZUFg0vvPBChw4dRGTdunV33333qlWr0tPTy8vLRaS8vPz06dMRERFBQUFffPGFiHTq1GnWrFkismLFivvvv3/Hjh0i8r//+7+afRNa+O2335S03t7eP/744759+z755JO1a9empKQsWrTIYDBUVlZOmzYtMzNT76QAYG8iIiI2bNiQnZ2tdxAAAABoQOXNII1G4w8//BASEnL69Onk5ORp06aJiIODQ7NmzS5dulRRUVE1sn379tu2bVOejv7xxx8rNzsYMmTIE088oUV+zaxatUrZWLt2bUhISNV+Z2fnsLCwxo0bz5o1Kycn5/nnn//mm290yggA9kk5M07d45YBAABgbVSe0SAiHTp0OHTo0Lx580wmk7KnsrIyOzv72pbhL3/5S3x8fPv27av2uLu7v/zyy1u3bnVwUH/o+nDkyBER6d+//7UtQ5WZM2eGhoaKyKZNm3bt2mXhbAAAAAAA2AqVZzQoPDw8Fi5cOGvWrK+++uro0aPHjx9PTU11dnZu3bp1r169xo8fHxQUdO34NWvWBAYGOjs71y1zvTh69KiI3HfffbcaEB4evnPnzpKSkrlz58bFxRkMBgumAwAAAADANtSpaFA0b9585syZtRlpzQ+AVE7EUC7xuKmAgIBXXnnlH//4x/79+z///PPJkydbMB0AAAAAALbBuq5f0JG3t7eIxMbGVjMmLCxMeQjF3Llzz58/b6FkAAAAAADYDoqGq3r16iUi0dHRUVFRtxrj7u6+dOlSEcnJyZkyZYrylA0AAAAAAFCFouEq5SkYZrN5zJgxGzduvNWwRx55ZNy4cSKybdu2KVOmFBcXWy4iAAAAAABWj6Lhqoceemjs2LEiUlpaOm7cuODg4BdffPGDDz64ceSqVavuueceEfn3v//dpUuX9957Lycnx9JxAcCO+Pv7N2vWzMPDQ+8gAAAA0IAGN4O0G6tXr758+fLOnTtFJCEhISEhwdXVdc6cOdcN8/Dw+PXXX0eNGvXbb7+dOHHi1Vdf1SMsANiP6OjokpKSam7HCwAAABvCGQ3/5enpuW3bthUrVignLFSjadOm27dvf/XVV5s2bWqZbABgx4xGo6enp94pAAAAoA3OaPj/NGrUaNq0adOmTTt27NiRI0fy8vJuNdJoNL777rsLFixYt25dbGxsampqSkqKJaMCAAAAAGCFKBpurmPHjh07dqxxmJub29SpU6dOnWqBSAAAAAAAWD8unQAAAAAAAJpReUaD8gDIwYMHc5NwAAAAAABQReUZDePGjRs3btzJkyev27958+bNmzdfvny5rrkAAA1GWFjY+PHjKysr9Q4CAAAADdRcNKSlpX322WcHDx4sLS2tcfCYMWPGjBmTlpamRTYAQIMQERGxYcOG7OxsvYMAAABAAzVfOpGamjplyhQRcXJyuuuuu4KDg++99956zwUAaDDMZnPVVwAAANi6mosGg8GgbJSVlSUkJCQkJKxdu1bZM3z48KCgoLvvvvuee+65++6777rrrnpMCgAAAAAArF7NRcOgQYMyMzMTrpGcnFxSUiIiZ8+ePXv2bFRUlDKyqpJYsWLF4MGDg4OD/f39q3YCAAAAAAC7V6unTrRq1WrIkCFDhgxRflleXu7k5CQiTz755MWLFxMTE9PT0+Was14/+uijjz76SERMJlNQUFBwcHBwcPD06dPr5TsAAAAAAMAiLl0q/p//+TU3t6SW4/ftO1OveayTmsdbNmp0ddYrr7wSHBwsIpcvX05KSjp06NCzzz4rIq6ursXFxSKSn5//+++///777yJC0QAAAAAAsGnbtp1cuTLhdmY0xGcy1lw0VFRUODo6Vj+mSZMmvXr16tWrl1I0xMTENG3aNCEh4dChQ8rVFsePH9cmLwAAAAAAOikvrxSR/v3bvPhi19qMDw/fvXv3/noOZXVqLhp27do1bty4e++9N/g/7r777uqnODg4tG/fvn379qNGjVL2KCc4AAAAAABg69q1a/Loo51qM3LLlia7d9d3HKtTq0sncnNzd+3atWvXrqtz/nPpxKeffhoSEtKlS5cab/ro6upat5wAALvl7+9fVlbm4eGhdxAAAABooOai4a677lqwYMHBgweoBhjEAAAgAElEQVQPHjyYlpZmNpvLy8uVl8LDw8PDw0WkcePG99xzT1BQkLL/8uWGeBUKAECd6OjokpISKmkAAA4ezDp27KLeKVCdffvO6R3BBtRcNPj4+MyfP1/Zzs/PP3To0MGDB59//nkRadSokVI6FBQU7NmzZ8+ePcqw/v37+/j4BF+jY8eONd7oAQDQMBmNRqPRqHcKAAB0VlRU1rPnFyUlFXoHQc0cHR30jmDVbu+pEyaTqXfv3r1791aKhr1795pMpqSkpKSkpMTEROXBE8rIjIyMjIyMqKgo5Zeurq5XrlzRNjoAAAAA2I2iovKSkgoXF8dRo+7UOwuq4+BgeO65YL1TWDU1j7es4ujo2KFDhw4dOowZM0bZo9yp4W9/+1t+fr7y1Ins7GzhZpAAAAAAUAsmk/P69SP1TgHUSZ2KhlsZN25ccPDVgufcuXPKEy7r40AAAAAAAMCqqCwaIiIiRMTPz6/Gkd7e3t7e3g8//LC6AwEAAAAAABuismiYPHnyTfe//PLLItKiRQv1iQAADUxYWFhKSkpkZKSDA/dVAgDYkpycK8HBn509W6B3EMC6aHzpxJIlS7R9QwCA3YuIiMjMzFy2bFnLli31zgIAwG1IS8vTvGXo29dX2zcELK9e7tEAAEDtmc3mqq8AANic7t1bx8Y+qXcKwIpwkioAAAAAANAMRQMAAAAAANAMl04AAAAAqJU9e84tXRpfWcnFblddulSsdwTAGlE0AAAAAKiVTz45uG7dEb1TWJ2mTV30jgBYF4oGAAAAALVSUVEpIi++2LV//zZ6Z7EWLi6Nevb01jsFYF0oGgAAAADchh49vB99tJPeKQBYL4oGAIDO/P39y8rKPDw89A4CAAAADVA0AAB0Fh0dXVJS4urqqncQALCQpKTsw4dz9E6hxqlTl/WOAMAGUDQAAHRmNBqNRqPeKQDAcgYOXJedfUXvFOo1auSgdwQAVo2iAQAAALCovLwSEXnkkY4ODga9s9y2Fi2MQ4e21zsFAKtG0QAAAADo4KuvRjg5cWoAADvEH20AAAAAAEAzFA0AAAAAAEAzXDoBANBZWFhYSkpKZGSkgwP1N2BF8vJKAgPXZGQU6B0EAGBj+JEOAKCziIiIDRs2ZGdn6x0EwP/n7NkCWob68+CDftygAYC94owGAIDOzGZz1VcA1iYw0CspaareKQAAtoQaFQAAAAAAaIaiAQAAAAAAaIZLJwAAsITKSvOcOT8nJeXoHQSorcLCMr0jAABsEkUDAACWcOZM/ocf7tc7BXDbmjc36h0BAGBjKBoAALCEigqziLRu7b52bajeWYDbEBTUQu8IAAAbQ9EAAIDlGI2NBg9up3cKAACAekTRAADQmb+/f1lZmYeHh95BAAAAoAGKBgCAzqKjo0tKSlxdXfUOopkTJ3Kjo9Ov25mdXaRLGAAAAAujaAAA6MxoNBqNdnW3uccf/z4uLvOmLzVqxIOlAQCAnaNoAABAY/n5pSIyfnwnT0+X614aOtRfj0QAAACWQ9EAAEC9WLiwT6dOzfROAQAAYGmcwAkAAAAAADTDGQ0AAD19H3+2T4CX3ik0VlFRqXcEAAAA3VA0AICd++abbx555BFl+4477jhx4sStRv74449Dhw4VkTFjxmzatKn6t123bt2ECRNEZMqUKWvWrLnVsJycnA0bNvz444+JiYlZWVkVFRUBAQEBAQGBgYHPP//8ypWn/r4iXs5tEskReVLEoOY7BAAAgDWhaAAAO7d27dqq7ZSUlD179jzwwAMWOG5FRcXbb7+9ePHiy5cvX7s/ISEhISHh22+/fe/991u0GyqVvQ2GeLP5sqdnucFgskAwy2jXrknbtvbz7QAAANQeRQMA2LOLFy9u3br12j3//ve/NS8adh29cN2e4itFf589fc+uHcovnV1cOnfp2qxFq8L8yxnpJ89nnCkvLystKTl7bLM4J3p4OOfmypEjT7Vq1UrbYAAAALA8igYAsGfr168vLS0VkUGDBkVHR4vIunXrlixZ0qhRrf78v7FBqHI44+p5Cpl5xde9ZDabF732gtIymDw8n3457OEx412NblUDrhQV/rhp3acfvlNwOU9KU4rE9Ta/LQAAAFgvigYAsGdV103Mnz+/sLBw7969WVlZ27dvd7uj+42DE87kKhvZBSXVVAw1Wrf6o907toqIdxu/JZ9vauXT5roBRjf3MROfurtr9+ceHV5ZUVpaen1VAQAAANtF0QAAtiQuLnPevN/Ly2/5UINLruaq7ZKi84kxMSLi4tZyzuJzFwo6i+wVkUnT3/bvOvPGuZezEpSNxMTsV17ZVX2SSxlJykZsXOa1g8vLChJ3Lla2Pdo/u/iDEyK3vP2ks9fw4gs13HUSAAAAtoWiAQBsxq6jFz5am7DtYEZtJxRsU/5b4tAtPv6CVNwpYhAxX8zYd7EiXQwu148vuaT8Nze3JD7+fA1vfiVP+W9O9pWcawfnb5XyKyIirl2OpJhEqn+fe0W+FTGLSGUlj4QEAACwBxQNAGBFarxgwWw2i8jo0Xf263f99Qg3emfue9n5IiJhC1/0atVWRD5+a0tKcqyYSx8fW9at78PXjT+a4Lzy/0RE7rmn+ZTZA6t/8wN7ir8IFxG5//7Wjz3738GLX1t6vkBEZO78+d5+HWsMmXW204q3Z1y6dKmsrKzGwQAAALB+FA0AYFF1ufdBlTZtTN261fCAhsMH47Mz00WkS7eeD4VevSPDmMcfe/+NWBFJSfxp+ktPXzel8oqnsuHp6VLj+18+f3Wwl5exanD2+XPnz6aKiK+f/4ix/Wr1zXRrFfG+s4i4uNxwhgUAAABsEEUDAGhMkyqh7nZs+VrZeHjMY1U7+z80YunfX6+oKI+L+eVSTlZTrxbaHvREcqKy0fGeoNrP8vf3Lysr8/Dw0DYMAAAAdEHRAAA3sWVLSmZmYTUDjuUXWSzMtVJT82ozrLy87Oet34qIi6vrwKEjq/Y38Wzavc+Avb/urKyo+Hnrt3+ZNE3beLmXcpSNZs1b1n5WdHR0SUmJqysPuQQAALAHFA0AcL3ExOzRozeJt/Weyd+okaH6Aft+jc67dFFE+oYMczc1ufalQaFj9v66U0R2fLdR86IhP/fqAzKNbu61n2U0Go1Go7ZJAAAAoBeKBgD273avZTh8PEe8XTw9Xfv29a2nSHXRpInzgw/6VT9m++YNysbDYx+77qW+g4c5u7iUlpQcSfjzzKnUNu0CNMzm1tikbBRf0eeMDwAAAOiOogGAzbDwvQ98fNznzu1uySNqpTD/8h+7touIg6Pj4QPxRxMPXjegqVeL8xlnRGTnd99MfvEVDQ/d1Ku5snEx2ypuVAEAAADLo2gAYGlWcq9EO7Zr23elJSUiUllREbFscTUjd2z5Wtuioa3/HcrGkUMHajnlx2/X/eOnLSIycuTIWbNmaRgGAAAAuqBoABqKkpKKoqIyDd/wt5RsDd/NqhQVlesdoU62b9lQy5Fn09OOJPzZOair8kuD4eqtH8rLa/5/oLz86m8ng4ND1c62/ne29Pa9cO5sRvrJ44cPdQjsUuP7/By1Ze8vP4nImDFjahkbAAAA1oyiAWgQ8vJK7rxzVXb2lZu8ZsW3PIQK5zPOHIrbIyJGN/dNMUkurje/yeL8WU//uv17Ednx3caqosGjaTNlIz31eI0HSjt+RNmoulxC0Tdk2DdfrBKRT95b+N7qGiqPosKChNg/lO1evXrVeFAAAABYP4oGwP7tOnrh9On8bKdKB19Xd3cnvePYhkaNHHr18tE7hRo/fbfRbDaLSN/Bw27VMojIoOFjlKIheuum519f4OjYSER82wU0cnIqLyvLSD95KSerqVeLag50YN/vykZAx7uu3f/Y0y98t/7zstLS+JhfY3/7+f6+D1bzJt+vX3ul6OpjRNu0aVOr7xAAAADWjaIBsFs33grB19f0+efDdAkDi9nxn+smQkb8pZphDwwYYnRzv1JUmJuTHR/za49+g0TEzb1xj74Pxvy8XUQWzp6+ePX6Ro1u3kx9ueKfyQf3i4jRzb3XwCHXvtTS2+cvTz6zbvVHIvLO67MWf7ouoFPgTd/kaOKBT5e+XfVLpR8BAACArXOoeQgA27Hr6IWq/+mdBTo4lnTwVMpxEfFo2qx7nwHVjHRxde0TMlTZ/um7jVX7n579v8rZDQf2xbz61Pg/9/x23cRzZ9IX/232qv8UBFNmvlr1SMsqz8z533t79BaRi9kXnn8s9POPPsjPy712QFFB/oaIT156crRy00onJ060AQAAsB+c0QDYA2oFKLZvvno6w4OhY5S+oBqDho9VKobdO7YWXylyNbqJSEDHu15btPSdsFnmysoD+2IO7Itp0drH169981beeZcunjuTnnH6ZGVFhfIOw/7y+KNTnrvxnRs1cloYvibs2YlJB+JKiq+s+ef/fb78/U73BLf0aePo4JB1/tyRQ38qFYOI+Pi1L7tSmJWVpdX/CQAAANAXRQNgY/buPffGG79XVpovud7GeebFxRX1FwlWoqKifOcPm5TtwdVeN6G4v89AUxPP/Mu5xVeKft+5repSi4dGP+rfodOK9/8R9/suEcnKzMjKzLhurl9Ah2dmh/UbMvxWb27y8Fy69tsV77/57ZdrykpLKyrKDx+MP3ww/toxBoPhwdDRs+e/+8zIfrfzjQIAAMCqUTQANub9Lw9tP3RO3VwvL1dtw8CqxP3+S25Otoi08mkTeG/3Gsc3cnLq91Do1q+/FJEd32289p4OHQKDFn+67s+9v//03ddHEv7MvpBZmJ/vYjR6NvPqeHdwrwGDB498xMHRscb3f/71heOnztix5ev4P349nXYi79KlysqKJh5Nfdv5d+nW8+Ex49v631m3bxoAAABWh6IBsBn/uT7CLCKjRt3Rv3/b25ru4GDo2LFpPeSCtejZP+TnI+dva8qrby159a0lt3q1a88+XXv2qWOq5q28H5828/FpM+v4PgAAALAVFA2ADbjxFgxt2jTp1q2VLmEAAAAAoBoUDYBV4y6PaAj8/f3Lyso8PDz0DgIAAAANUDQAVuff/04+cyY/9UrxTV89cuSihfMA9S06OrqkpMTVlXuIAAAA2AOKBsC6xMZmPvnqTzUOc3IyWCAMYBlGo9FoNOqdAgAAANqgaACsyK6jFw6mZYtIy5ZuISHtbjXMycmhmlcBAAAAQEcUDYBVuO5eDN7ejadPD9IrDAAAAACoRtFQg8LCwosXLxYWFhYUFLi4uJhMJi8vL5PJpHcu2A9u9wgAAADAnlA03MT58+c3bty4devWpKSkU6dOmc3m6wb4+vp26dIlNDR07Nixbdq00SUkbFR+fmlW1hUR2Zt+83s65uTc/B6QAAAAAGATKBr+P7m5uQsWLFi+fHl5eXk1w86ePXv27Nlt27bNnTv3qaeeeuutt5o3b26xkLBdBQVl/v4rc5wr9Q4CWJewsLCUlJTIyEgHBwe9swAAAKCuKBr+Ky0tbfDgwampqVV7jEajn5+ft7e3m5ubi4tLaWlpUVFRZmZmenp6YWGhiJSVlX3yySc7duzYunVrp06d9MsOa1H9dRDnzxflOFc6Ojq0bFnDDfb79eNMGTQgERERmZmZy5Yta9mypd5ZAAAAUFcUDVeVlpaOHDlSaRm8vb2nT58+evTooKAgR0fHGwebzebk5OSoqKgVK1YcO3YsNTV17Nix8fHxPJ7NztTT3ROaNzd++eWI+nhnwEYpV6jdeJ0aAAAAbBFFw1WrVq1KSkoSkREjRnzxxRceHh7VDDYYDIGBgYGBgTNnzpwzZ87y5cuTk5NXrlw5a9YsS+XF7eGGiwAAAABgGRQNV3311Vci4u3tvX79+tqfmODs7BweHr5///4//vgjMjKSosECqAwAAAAAwJpRNFyVnJwsIqNHj77dyx8MBsOECRP++OOP48ePaxspIiJi2bJlKiYeOXJERAoKCrTNU3v79p17+eWfS0srqh+W39hgmTzWo7yc20ACAAAAsHMUDVcVFRWJiMlkUjHX09NTRJTbQ2po+/bt8fHxqqdX/+CMehUXd/6PPzL0Orr1u8Pfa2An7ngHAAAAwD5RNFzl5+d39OjR2NhYFXOVWW3aaPyYgNWrV8+dO1fFxA8++ODLL78cPXq0tnlqb8aMe/v29S0r41/vb65Dh6Z6RwAAAACA+kLRcFVoaOjRo0d37dq1fv368ePH135iXFzc6tWrRSQkJETbSK6urt26dVMxsVWrVtomuV0GgwQFtdA3AwAAAABAFw56B7AWL774onJ3hokTJ7722mvnzp2rcUpubu677747cODAoqIiJyenGTNm1H9MALBD/v7+zZo1q/5xPwAAALAVnNFwVUBAwIcffvjss8+Wl5cvXrx4yZIlPXr06NmzZ0BAgI+Pj5ubm4uLS1lZWVFRUWZm5smTJ2NjY2NiYoqLi5Xp77zzTlBQkL7fAgDYqOjo6JKSEldXV72DAAAAQAMUDf81bdo0d3f3WbNm5eTklJeXx8TExMTE1DjLZDKFh4dPnjzZAgkBwC4ZjcbbfeIPAAAArBaXTvx/nnjiiePHjy9cuDAwMLDGwZ07d543b15aWhotAwAAAAAACs5ouF7Tpk3nzZs3b9689PT0xMTEw4cP5+TkFBQUFBUVubq6Nm7cuEWLFp07d+7SpUu7du30DgsAAAAAgHWhaLglPz8/Pz+/0NBQvYMAAAAAAGAzuHQCAAAAAABohqIBAKCzsLCw8ePHV1ZW6h0EAAAAGqBoAADoLCIiYsOGDdnZ2XoHAQAAgAYoGgAAOjObzVVfAQAAYOsoGgAAAAAAgGYoGgAAAAAAgGYoGgAAAAAAgGYoGgAAAAAAgGYoGgAAAAAAgGYa6R0A9eUf//jHsmXLdDn05cuXc3JyHB0dDQaDLgGAhqmysrKystIWl15ZWZmItG3bVu8ggBq2u/QAm1ZRUeHg4ODn56d3EKAGFy5c0DuCDiga7FD79u1FJCcnJycnR8cY5eXlOh4daLBsd+kpdQNgo2x36QG2q7KyMjU1Ve8UQM0MBoPyd7SGw8Bzy+3SqVOnKioq9Dr6e++99/HHH0+bNm3ix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" />
-
-<!-- rnb-plot-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-Far fewer genes in the gene set are ranked above the threshold, yielding a lower AUC value.
-
-### Calculating the AUC
-
-Once we have the rankings, we can calculate the AUC scores for both gene sets in all cells with the `AUCell_calcAUC()` function.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuY2VsbF9hdWMgPC0gQVVDZWxsX2NhbGNBVUMoZ2VuZVNldHMgPSBld2luZ19nZW5lX3NldF9jb2xsZWN0aW9uLCBcbiAgICAgICAgICAgICAgICAgICAgICAgICAgIHJhbmtpbmdzID0gY2VsbF9yYW5raW5ncyxcbiAgICAgICAgICAgICAgICAgICAgICAgICAgIGF1Y01heFJhbmsgPSBhdWNfbWF4X3JhbmspXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-cell_auc <- AUCell_calcAUC(geneSets = ewing_gene_set_collection,
+
+
+
+
+
+
+Far fewer genes in the gene set are ranked above the threshold,
+yielding a lower AUC value.
+
+
+Calculating the AUC
+Once we have the rankings, we can calculate the AUC scores for both
+gene sets in all cells with the AUCell_calcAUC()
+function.
+
+
+
+cell_auc <- AUCell_calcAUC(geneSets = ewing_gene_set_collection,
rankings = cell_rankings,
aucMaxRank = auc_max_rank)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-This function returns an `aucellResults` object.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc3RyKGNlbGxfYXVjKVxuYGBgXG5gYGAifQ== -->
-
-```r
-```r
-str(cell_auc)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-output-begin 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 -->
-
-Formal class ‘aucellResults’ [package ] with 6 slots ..@
-nGenesDetected : num(0) ..@ colData :Formal class ‘DFrame’ [package
-4Vectors] with 6 slots .. .. ..@ rownames : chr [1:4277] … .. .. ..@
-nrows : int 4277 .. .. ..@ elementType : chr
-.. .. ..@ elementMetadata: NULL .. .. ..@ metadata : list() .. .. ..@
-listData : Named list() ..@ assays :Formal class ‘SimpleAssays’ [package
-] with 1 slot .. .. ..@ data:Formal class ‘SimpleList’ [package 4Vectors] with 4
-slots .. .. .. .. ..@ listData :List of 1 .. .. .. .. .. ..$ AUC: num
-[1:2, 1:4277] 0.1103 0.1206 0.0352 0.0538 0.1671 … .. .. .. .. .. .. ..-
-attr(*, )=List of 2 .. .. .. .. .. .. .. ..$ gene sets: chr [1:2]
-_TARGETS_OF_EWSR1_FLI1_FUSION _EWING_SARCOMA_PROGENITOR_UP
-.. .. .. .. .. .. .. ..$ cells : chr [1:4277] … .. .. .. .. ..@
-elementType : chr
-.. .. .. .. ..@ elementMetadata: NULL .. .. .. .. ..@ metadata : list()
-..@ NAMES : chr [1:2]
-_TARGETS_OF_EWSR1_FLI1_FUSION _EWING_SARCOMA_PROGENITOR_UP
-..@ elementMetadata:Formal class ‘DFrame’ [package 4Vectors] with 6
-slots .. .. ..@ rownames : NULL .. .. ..@ nrows : int 2 .. .. ..@
-elementType : chr
-.. .. ..@ elementMetadata: NULL .. .. ..@ metadata : list() .. .. ..@
-listData : Named list() ..@ metadata : list()
-
-
-
-<!-- rnb-output-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-To save this to a file, we'll likely want this in a tabular format.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBFeHRyYWN0IEFVQ1xuYXVjX2RmIDwtIGNlbGxfYXVjQGFzc2F5c0BkYXRhJEFVQyB8PlxuICAjIFRyYW5zcG9zZVxuICB0KCkgfD5cbiAgIyBDb252ZXJ0IHRvIGRhdGEgZnJhbWVcbiAgYXMuZGF0YS5mcmFtZSgpIHw+XG4gICMgTWFrZSB0aGUgYmFyY29kZXMgYSBjb2x1bW5cbiAgdGliYmxlOjpyb3duYW1lc190b19jb2x1bW4oXFxiYXJjb2Rlc1xcKSBcblxuIyBMb29rIGF0IGZpcnN0IGZldyByb3dzXG5oZWFkKGF1Y19kZilcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-# Extract AUC
+
+
+
+This function returns an aucellResults object.
+
+
+
+str(cell_auc)
+
+
+Formal class 'aucellResults' [package "AUCell"] with 6 slots
+ ..@ nGenesDetected : num(0)
+ ..@ colData :Formal class 'DFrame' [package "S4Vectors"] with 6 slots
+ .. .. ..@ rownames : chr [1:4277] "AAGCATCTCGTTGCCT" "CTGTATTTCCAAGAGG" "CAGCAGCTCCTCAGAA" "AGGTCTAAGGGACTGT" ...
+ .. .. ..@ nrows : int 4277
+ .. .. ..@ elementType : chr "ANY"
+ .. .. ..@ elementMetadata: NULL
+ .. .. ..@ metadata : list()
+ .. .. ..@ listData : Named list()
+ ..@ assays :Formal class 'SimpleAssays' [package "SummarizedExperiment"] with 1 slot
+ .. .. ..@ data:Formal class 'SimpleList' [package "S4Vectors"] with 4 slots
+ .. .. .. .. ..@ listData :List of 1
+ .. .. .. .. .. ..$ AUC: num [1:2, 1:4277] 0.1103 0.1206 0.0352 0.0538 0.1671 ...
+ .. .. .. .. .. .. ..- attr(*, "dimnames")=List of 2
+ .. .. .. .. .. .. .. ..$ gene sets: chr [1:2] "ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION" "RIGGI_EWING_SARCOMA_PROGENITOR_UP"
+ .. .. .. .. .. .. .. ..$ cells : chr [1:4277] "AAGCATCTCGTTGCCT" "CTGTATTTCCAAGAGG" "CAGCAGCTCCTCAGAA" "AGGTCTAAGGGACTGT" ...
+ .. .. .. .. ..@ elementType : chr "ANY"
+ .. .. .. .. ..@ elementMetadata: NULL
+ .. .. .. .. ..@ metadata : list()
+ ..@ NAMES : chr [1:2] "ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION" "RIGGI_EWING_SARCOMA_PROGENITOR_UP"
+ ..@ elementMetadata:Formal class 'DFrame' [package "S4Vectors"] with 6 slots
+ .. .. ..@ rownames : NULL
+ .. .. ..@ nrows : int 2
+ .. .. ..@ elementType : chr "ANY"
+ .. .. ..@ elementMetadata: NULL
+ .. .. ..@ metadata : list()
+ .. .. ..@ listData : Named list()
+ ..@ metadata : list()
+
+
+
+To save this to a file, we’ll likely want this in a tabular
+format.
+
+
+
+# Extract AUC
auc_df <- cell_auc@assays@data$AUC |>
# Transpose
t() |>
# Convert to data frame
as.data.frame() |>
# Make the barcodes a column
- tibble::rownames_to_column(\barcodes\)
+ tibble::rownames_to_column("barcodes")
# Look at first few rows
head(auc_df)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-frame-begin 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 -->
-
-<div data-pagedtable="false">
- <script data-pagedtable-source type="application/json">
-{"columns":[{"label":[""],"name":["_rn_"],"type":[""],"align":["left"]},{"label":["barcodes"],"name":[1],"type":["chr"],"align":["left"]},{"label":["ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION"],"name":[2],"type":["dbl"],"align":["right"]},{"label":["RIGGI_EWING_SARCOMA_PROGENITOR_UP"],"name":[3],"type":["dbl"],"align":["right"]}],"data":[{"1":"AAGCATCTCGTTGCCT","2":"0.11026914","3":"0.12056307","_rn_":"1"},{"1":"CTGTATTTCCAAGAGG","2":"0.03515507","3":"0.05377265","_rn_":"2"},{"1":"CAGCAGCTCCTCAGAA","2":"0.16709212","3":"0.15330977","_rn_":"3"},{"1":"AGGTCTAAGGGACTGT","2":"0.11987699","3":"0.11544045","_rn_":"4"},{"1":"AATTTCCTCTCGAGTA","2":"0.17362465","3":"0.16801723","_rn_":"5"},{"1":"CAGTTAGCAACATCGT","2":"0.17517236","3":"0.15457109","_rn_":"6"}],"options":{"columns":{"min":{},"max":[10],"total":[3]},"rows":{"min":[10],"max":[10],"total":[6]},"pages":{}}}
- </script>
-</div>
-
-<!-- rnb-frame-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-Let's write this table to the output file.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuYXVjX2RmIHw+XG4gICMgVXNlIHNob3J0ZXIgbmFtZXMgdG8gc2F2ZSB0byBmaWxlXG4gIGRwbHlyOjpyZW5hbWUoemhhbmdfYXVjID0gZXdpbmdfZ2VuZV9zZXRfbmFtZXNbMV0sXG4gICAgICAgICAgICAgICAgcmlnZ2lfYXVjID0gZXdpbmdfZ2VuZV9zZXRfbmFtZXNbMl0pIHw+XG4gIHJlYWRyOjp3cml0ZV90c3YoZmlsZSA9IG91dHB1dF9maWxlKVxuYGBgXG5gYGAifQ== -->
-
-```r
-```r
-auc_df |>
+
+
+
+
+
+
+
+
+Let’s write this table to the output file.
+
+
+
+auc_df |>
# Use shorter names to save to file
dplyr::rename(zhang_auc = ewing_gene_set_names[1],
riggi_auc = ewing_gene_set_names[2]) |>
readr::write_tsv(file = output_file)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-### Assignments
-
-AUCell can assign cells as having an active gene set or not by picking a threshold.
-We'll explore these in a later plot, but for now, let's calculate the threshold and assign cells with `AUCell_exploreThresholds()`.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuYXVjX2Fzc2lnbm1lbnRzIDwtIEFVQ2VsbF9leHBsb3JlVGhyZXNob2xkcyhjZWxsX2F1YywgXG4gICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIHBsb3RIaXN0ID0gRkFMU0UsIFxuICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICBhc3NpZ25DZWxscyA9IFRSVUUpXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-auc_assignments <- AUCell_exploreThresholds(cell_auc,
+
+
+
+
+
+Assignments
+AUCell can assign cells as having an active gene set or not by
+picking a threshold. We’ll explore these in a later plot, but for now,
+let’s calculate the threshold and assign cells with
+AUCell_exploreThresholds().
+
+
+
+auc_assignments <- AUCell_exploreThresholds(cell_auc,
plotHist = FALSE,
assignCells = TRUE)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-output-begin eyJkYXRhIjoiUmVnaXN0ZXJlZCBTMyBtZXRob2RzIG92ZXJ3cml0dGVuIGJ5ICdodG1sdG9vbHMnOlxuICBtZXRob2QgICAgICAgICAgICAgICBmcm9tICAgICAgICAgXG4gIHByaW50Lmh0bWwgICAgICAgICAgIHRvb2xzOnJzdHVkaW9cbiAgcHJpbnQuc2hpbnkudGFnICAgICAgdG9vbHM6cnN0dWRpb1xuICBwcmludC5zaGlueS50YWcubGlzdCB0b29sczpyc3R1ZGlvXG5SZWdpc3RlcmVkIFMzIG1ldGhvZCBvdmVyd3JpdHRlbiBieSAnaHRtbHdpZGdldHMnOlxuICBtZXRob2QgICAgICAgICAgIGZyb20gICAgICAgICBcbiAgcHJpbnQuaHRtbHdpZGdldCB0b29sczpyc3R1ZGlvXG4ifQ== -->
-
-Registered S3 methods overwritten by ‘htmltools’: method from
-print.html tools:rstudio print.shiny.tag tools:rstudio
-print.shiny.tag.list tools:rstudio Registered S3 method overwritten by
-‘htmlwidgets’: method from
-print.htmlwidget tools:rstudio
-
-
-
-<!-- rnb-output-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-We're going to plot the distribution of AUC values with `ggplot2`, so we will want the AUC values in a longer format.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin 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 -->
-
-```r
-```r
-auc_plotting_df <- auc_df |>
+
+
+Registered S3 method overwritten by 'htmlwidgets':
+ method from
+ print.htmlwidget tools:rstudio
+
+
+
+We’re going to plot the distribution of AUC values with
+ggplot2, so we will want the AUC values in a longer
+format.
+
+
+
+auc_plotting_df <- auc_df |>
tidyr::pivot_longer(!barcodes,
- names_to = \gene_set\,
- values_to = \auc\) |>
+ names_to = "gene_set",
+ values_to = "auc") |>
dplyr::mutate(
# Create a new logical column called assigned
assigned = dplyr::case_when(
@@ -3733,39 +3371,22 @@ Libraries
)
auc_plotting_df
-
-<!-- rnb-source-end -->
-
-<!-- rnb-frame-begin {"metadata":{"classes":["tbl_df","tbl","data.frame"],"nrow":8554,"ncol":4,"summary":{"A tibble":"8,554 × 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G_SARCOMA_PROGENITOR_UP","3":"0.143653542","4":"TRUE"},{"1":"AATCGACCACGACGCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.138570079","4":"TRUE"},{"1":"AATCGACCACGACGCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.123573579","4":"TRUE"},{"1":"GTTGTCCAGTTGCGCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.027898937","4":"FALSE"},{"1":"GTTGTCCAGTTGCGCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.057169885","4":"FALSE"},{"1":"TGCTCGTCAGTGGTGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.026974332","4":"FALSE"},{"1":"TGCTCGTCAGTGGTGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.036280774","4":"FALSE"},{"1":"TAGTGCACAGAACGCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.184116902","4":"TRUE"},{"1":"TAGTGCACAGAACGCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.183510037","4":"TRUE"},{"1":"ATCTTCATCTCAACGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.172599546","4":"TRUE"},{"1":"ATCTTCATCTCAACGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.135347874","4":"TRUE"},{"1":"CATAGACCAGCAATTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.123997508","4":"TRUE"},{"1":"CATAGACCAGCAATTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.142493366","4":"TRUE"},{"1":"CATTGTTGTGCCTGAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.135776165","4":"TRUE"},{"1":"CATTGTTGTGCCTGAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.152322136","4":"TRUE"},{"1":"AGATCGTAGTTTCAGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.160680187","4":"TRUE"},{"1":"AGATCGTAGTTTCAGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.116933805","4":"TRUE"},{"1":"CACATGACAAGAAACT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.157263171","4":"TRUE"},{"1":"CACATGACAAGAAACT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.133658183","4":"TRUE"},{"1":"CCTCAACTCTACTATC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.199915580","4":"TRUE"},{"1":"CCTCAACTCTACTATC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.143135925","4":"TRUE"},{"1":"AGTGCCGTCGAACGGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.176599465","4":"TRUE"},{"1":"AGTGCCGTCGAACGGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.166678566","4":"TRUE"},{"1":"TCCTGCACATGACACT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.172298044","4":"TRUE"},{"1":"TCCTGCACATGACACT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.155624174","4":"TRUE"},{"1":"TGTCAGAGTTCTCGCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.053828064","4":"FALSE"},{"1":"TGTCAGAGTTCTCGCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.066534585","4":"FALSE"},{"1":"TGGAGGATCCCGAACG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.181443589","4":"TRUE"},{"1":"TGGAGGATCCCGAACG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.160520711","4":"TRUE"},{"1":"AGGTCATAGGCACAAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.166891118","4":"TRUE"},{"1":"AGGTCATAGGCACAAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.149805447","4":"TRUE"},{"1":"CCTCCTCAGAATTGCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.138630379","4":"TRUE"},{"1":"CCTCCTCAGAATTGCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.155261248","4":"TRUE"},{"1":"GGATCTACACCAGTAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.146992020","4":"TRUE"},{"1":"GGATCTACACCAGTAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.146241626","4":"TRUE"},{"1":"AGCTCAATCACTTGGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.022853812","4":"FALSE"},{"1":"AGCTCAATCACTTGGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.057830293","4":"FALSE"},{"1":"CGTAAGTTCGCGGACT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.149464332","4":"TRUE"},{"1":"CGTAAGTTCGCGGACT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.126679280","4":"TRUE"},{"1":"TCCTGCAGTGGTAATA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.033868666","4":"FALSE"},{"1":"TCCTGCAGTGGTAATA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.067682862","4":"FALSE"},{"1":"TGCAGATAGCTTTCTT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.156097365","4":"TRUE"},{"1":"TGCAGATAGCTTTCTT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.145259939","4":"TRUE"},{"1":"AACAAGATCCACCTCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.173885952","4":"TRUE"},{"1":"AACAAGATCCACCTCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.147586240","4":"TRUE"},{"1":"CGAGTGCAGTGAGGCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.176056763","4":"TRUE"},{"1":"CGAGTGCAGTGAGGCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.149359226","4":"TRUE"},{"1":"GAAGCCCGTTGCTCGG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.170931238","4":"TRUE"},{"1":"GAAGCCCGTTGCTCGG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.166500077","4":"TRUE"},{"1":"CGGACACTCCCAGGAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.189845430","4":"TRUE"},{"1":"CGGACACTCCCAGGAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.136989969","4":"TRUE"},{"1":"ACCGTTCAGGATTCCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.042149907","4":"FALSE"},{"1":"ACCGTTCAGGATTCCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.037672985","4":"FALSE"},{"1":"TGCTTCGGTCTCAGGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.121967398","4":"TRUE"},{"1":"TGCTTCGGTCTCAGGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.100358167","4":"TRUE"},{"1":"ACCACAACAAGTGGTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.166046914","4":"TRUE"},{"1":"ACCACAACAAGTGGTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.156046597","4":"TRUE"},{"1":"AAATGGATCAGCGCAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.029506945","4":"FALSE"},{"1":"AAATGGATCAGCGCAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.062476945","4":"FALSE"},{"1":"AACCTTTGTATGAGGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.174569355","4":"TRUE"},{"1":"AACCTTTGTATGAGGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.180505480","4":"TRUE"},{"1":"CAAGGGACAGGTGACA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.022753311","4":"FALSE"},{"1":"CAAGGGACAGGTGACA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.043717798","4":"FALSE"},{"1":"ATCGTCCTCTGCGGCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.177524070","4":"TRUE"},{"1":"ATCGTCCTCTGCGGCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.154214115","4":"TRUE"},{"1":"TCTGCCAGTTCAAGTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.164820808","4":"TRUE"},{"1":"TCTGCCAGTTCAAGTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.150138626","4":"TRUE"},{"1":"AACACACAGTCATGCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.022471910","4":"FALSE"},{"1":"AACACACAGTCATGCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.042932448","4":"FALSE"},{"1":"TAACTTCAGTTCATGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.169946333","4":"TRUE"},{"1":"TAACTTCAGTTCATGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.138560668","4":"TRUE"},{"1":"ATTCTACCAAGCTGTT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.041868505","4":"FALSE"},{"1":"ATTCTACCAAGCTGTT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.070122205","4":"FALSE"},{"1":"CGGTCAGGTCTAGTGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.197463368","4":"TRUE"},{"1":"CGGTCAGGTCTAGTGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.150632444","4":"TRUE"},{"1":"AGATGCTCAACACACT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.191775040","4":"TRUE"},{"1":"AGATGCTCAACACACT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.163275384","4":"TRUE"},{"1":"TGACTCCCAACTCGTA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.190770035","4":"TRUE"},{"1":"TGACTCCCAACTCGTA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.150251669","4":"TRUE"},{"1":"CACGGGTCAGCTTTGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.042913710","4":"FALSE"},{"1":"CACGGGTCAGCTTTGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.062369852","4":"FALSE"},{"1":"CACTGTCGTCTCGGAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.147112621","4":"TRUE"},{"1":"CACTGTCGTCTCGGAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.149734052","4":"TRUE"},{"1":"TCGCTCACATCGGATT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.135555064","4":"TRUE"},{"1":"TCGCTCACATCGGATT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.136115375","4":"TRUE"},{"1":"TCGGGACTCCCAACTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.171031738","4":"TRUE"},{"1":"TCGGGACTCCCAACTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.161847476","4":"TRUE"},{"1":"TCAGCAAAGCGACATG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.134007357","4":"TRUE"},{"1":"TCAGCAAAGCGACATG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.131450874","4":"TRUE"},{"1":"CTCAACCCATACACCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.123615606","4":"TRUE"},{"1":"CTCAACCCATACACCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.124739704","4":"TRUE"},{"1":"GGCAGTCAGTAAGCAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.034089767","4":"FALSE"},{"1":"GGCAGTCAGTAAGCAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.065320863","4":"FALSE"},{"1":"TTCCACGCAAGTGGAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.123535205","4":"TRUE"},{"1":"TTCCACGCAAGTGGAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.126518640","4":"TRUE"},{"1":"CCTGCATCAGAGCCCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.163494201","4":"TRUE"},{"1":"CCTGCATCAGAGCCCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.141547377","4":"TRUE"},{"1":"GTGGAAGTCATGAAAG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.149484432","4":"TRUE"},{"1":"GTGGAAGTCATGAAAG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.170545818","4":"TRUE"},{"1":"AAGACAATCGATCCAA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.029567245","4":"FALSE"},{"1":"AAGACAATCGATCCAA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.070848059","4":"FALSE"},{"1":"CTGGTCTGTTCAAGGG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.110168640","4":"TRUE"},{"1":"CTGGTCTGTTCAAGGG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.118159426","4":"TRUE"},{"1":"CTTCTCTTCCCTTGTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.194528753","4":"TRUE"},{"1":"CTTCTCTTCCCTTGTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.176882162","4":"TRUE"},{"1":"TGCGACGAGGAAAGGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.169222729","4":"TRU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1_FLI1_FUSION","3":"0.056199875","4":"FALSE"},{"1":"AGTCAACAGAGGATGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.051975868","4":"FALSE"},{"1":"GACATCAAGCAATAAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.181202388","4":"TRUE"},{"1":"GACATCAAGCAATAAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.175591095","4":"TRUE"},{"1":"TGAGGGATCTAGCATG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.137203272","4":"TRUE"},{"1":"TGAGGGATCTAGCATG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.126155713","4":"TRUE"},{"1":"AGTTAGCAGTGCACCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.213523346","4":"TRUE"},{"1":"AGTTAGCAGTGCACCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.167969633","4":"TRUE"},{"1":"ATCGCCTTCCGACAGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.029084843","4":"FALSE"},{"1":"ATCGCCTTCCGACAGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.062108069","4":"FALSE"},{"1":"CTTCCTTTCCTATTTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.012964564","4":"FALSE"},{"1":"CTTCCTTTCCTATTTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.060680160","4":"FALSE"},{"1":"CTCTCAGGTGTAAATG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.150348737","4":"TRUE"},{"1":"CTCTCAGGTGTAAATG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.147687383","4":"TRUE"},{"1":"CACTTCGTCATCTCTA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.037165082","4":"FALSE"},{"1":"CACTTCGTCATCTCTA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.050821642","4":"FALSE"},{"1":"TATACCTAGGACACTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.203191896","4":"TRUE"},{"1":"TATACCTAGGACACTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.173490879","4":"TRUE"},{"1":"GGAGGATAGCCTGTGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.195473458","4":"TRUE"},{"1":"GGAGGATAGCCTGTGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.148151453","4":"TRUE"},{"1":"GTAACCACAACAAAGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.208699323","4":"TRUE"},{"1":"GTAACCACAACAAAGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.159967396","4":"TRUE"},{"1":"CCATCACCAGCCTTCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.039195192","4":"FALSE"},{"1":"CCATCACCAGCCTTCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.051136972","4":"FALSE"},{"1":"ACTCTCGGTTCGGTCG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.191051436","4":"TRUE"},{"1":"ACTCTCGGTTCGGTCG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.165363700","4":"TRUE"},{"1":"TCAAGACCAATAAGGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.024280919","4":"FALSE"},{"1":"TCAAGACCAATAAGGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.053510870","4":"FALSE"},{"1":"TGGGCGTTCCGCATAA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.186910816","4":"TRUE"},{"1":"TGGGCGTTCCGCATAA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.168659789","4":"TRUE"},{"1":"GTCTTTAAGCTGTTAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.171071938","4":"TRUE"},{"1":"GTCTTTAAGCTGTTAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.178470710","4":"TRUE"},{"1":"TCAGCCTTCGATTTCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.166971518","4":"TRUE"},{"1":"TCAGCCTTCGATTTCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.147253061","4":"TRUE"},{"1":"TTACGCCTCAGTCATG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.026331129","4":"FALSE"},{"1":"TTACGCCTCAGTCATG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.051107224","4":"FALSE"},{"1":"TCATGCCAGCCAAGGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.148981930","4":"TRUE"},{"1":"TCATGCCAGCCAAGGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.152220993","4":"TRUE"},{"1":"ATTCAGGCAGTTTCGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.045104621","4":"FALSE"},{"1":"ATTCAGGCAGTTTCGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.055414748","4":"FALSE"},{"1":"TTAGGGTGTGAGTAGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.186589214","4":"TRUE"},{"1":"TTAGGGTGTGAGTAGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.168076726","4":"TRUE"},{"1":"ACCCAAAAGAGGATCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.160941489","4":"TRUE"},{"1":"ACCCAAAAGAGGATCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.133717679","4":"TRUE"},{"1":"CATCAAGAGGGTACAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.193905650","4":"TRUE"},{"1":"CATCAAGAGGGTACAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.165482693","4":"TRUE"},{"1":"AGCTCAAAGGCCTTCG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.163655002","4":"TRUE"},{"1":"AGCTCAAAGGCCTTCG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.166363236","4":"TRUE"},{"1":"CATTGTTAGCACCTGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.167494121","4":"TRUE"},{"1":"CATTGTTAGCACCTGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.146467711","4":"TRUE"},{"1":"TTCCTAACATACCACA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.003778819","4":"FALSE"},{"1":"TTCCTAACATACCACA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.052856412","4":"FALSE"},{"1":"GTAGGAGGTTCAAGTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.160680187","4":"TRUE"},{"1":"GTAGGAGGTTCAAGTC"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F_EWSR1_FLI1_FUSION","3":"0.177905972","4":"TRUE"},{"1":"GTGGAAGCATCAGCAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.149769750","4":"TRUE"},{"1":"GCTTCACAGGTTAAAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.180981287","4":"TRUE"},{"1":"GCTTCACAGGTTAAAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.127149300","4":"TRUE"},{"1":"GACCGTGGTCGTCATA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.180780286","4":"TRUE"},{"1":"GACCGTGGTCGTCATA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.138870048","4":"TRUE"},{"1":"TCCTTCTGTATCAAGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.204619003","4":"TRUE"},{"1":"TCCTTCTGTATCAAGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.153291924","4":"TRUE"},{"1":"TGGGCGTGTCGTTTCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.147856324","4":"TRUE"},{"1":"TGGGCGTGTCGTTTCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.153886886","4":"TRUE"},{"1":"ATTCATCGTTCAAAGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.196820164","4":"TRUE"},{"1":"ATTCATCGTTCAAAGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.144236604","4":"TRUE"},{"1":"GTATTGGGTCGATGCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.103575808","4":"TRUE"},{"1":"GTATTGGGTCGATGCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.112144362","4":"TRUE"},{"1":"CACTAAGCATCCTTGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.181825491","4":"TRUE"},{"1":"CACTAAGCATCCTTGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.135270529","4":"TRUE"},{"1":"GTGATGTTCTGCGGGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.171855842","4":"TRUE"},{"1":"GTGATGTTCTGCGGGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.168784731","4":"TRUE"},{"1":"TGATGGTTCTTCGCTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.033627465","4":"FALSE"},{"1":"TGATGGTTCTTCGCTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.062488844","4":"FALSE"},{"1":"GGTAATCCACAACATC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.169946333","4":"TRUE"},{"1":"GGTAATCCACAACATC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.169094111","4":"TRUE"},{"1":"CTTCTAAAGCTGCGAA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.018934293","4":"FALSE"},{"1":"CTTCTAAAGCTGCGAA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.050756197","4":"FALSE"},{"1":"CGAGTGCTCTTTGATC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.145042311","4":"TRUE"},{"1":"CGAGTGCTCTTTGATC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.150739538","4":"TRUE"},{"1":"AAGCGAGGTTGTCTAG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.189443428","4":"TRUE"},{"1":"AAGCGAGGTTGTCTAG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.159848404","4":"TRUE"},{"1":"CATTGCCCACACGGTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.018009688","4":"FALSE"},{"1":"CATTGCCCACACGGTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.051238116","4":"FALSE"},{"1":"CATGGATGTCGCATGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.175393459","4":"TRUE"},{"1":"CATGGATGTCGCATGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.161341758","4":"TRUE"},{"1":"CAGGGCTAGAAGAGCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.164901208","4":"TRUE"},{"1":"CAGGGCTAGAAGAGCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.121449565","4":"TRUE"},{"1":"TGACTCCGTCCTCATC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.123334204","4":"TRUE"},{"1":"TGACTCCGTCCTCATC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.126595985","4":"TRUE"},{"1":"CACAACAGTGGACAGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.177302969","4":"TRUE"},{"1":"CACAACAGTGGACAGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.158093266","4":"TRUE"},{"1":"CCAAGCGCATTGAGCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.188579124","4":"TRUE"},{"1":"CCAAGCGCATTGAGCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.128714049","4":"TRUE"},{"1":"TGATGCACACCGAATT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.080500894","4":"FALSE"},{"1":"TGATGCACACCGAATT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.108074822","4":"TRUE"},{"1":"GGATCTATCGCTACAA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.146127716","4":"TRUE"},{"1":"GGATCTATCGCTACAA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.136751984","4":"TRUE"},{"1":"CGTAAGTTCGGATAAA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.177222568","4":"TRUE"},{"1":"CGTAAGTTCGGATAAA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.181546663","4":"TRUE"},{"1":"TCCTCCCTCTTACACT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.011718357","4":"FALSE"},{"1":"TCCTCCCTCTTACACT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.057235331","4":"FALSE"},{"1":"TGAATGCTCGGAGATG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.176418564","4":"TRUE"},{"1":"TGAATGCTCGGAGATG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.157486405","4":"TRUE"},{"1":"ACACAGTTCAAGCTGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.117344375","4":"TRUE"},{"1":"ACACAGTTCAAGCTGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.131938743","4":"TRUE"},{"1":"GGAGAACCAAGCACAG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.025346224","4":"FALSE"},{"1":"GGAGAACCAAGCACAG","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TOR_UP","3":"0.161276312","4":"TRUE"},{"1":"TAAGCCAGTTCTCCTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.170087033","4":"TRUE"},{"1":"TAAGCCAGTTCTCCTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.159009507","4":"TRUE"},{"1":"TGGAACTTCGCACGAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.169484030","4":"TRUE"},{"1":"TGGAACTTCGCACGAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.127048156","4":"TRUE"},{"1":"ATTCCTATCGCTGATA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.184418404","4":"TRUE"},{"1":"ATTCCTATCGCTGATA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.142558812","4":"TRUE"},{"1":"CAAGACTCATGCAGGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.162408796","4":"TRUE"},{"1":"CAAGACTCATGCAGGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.158979759","4":"TRUE"},{"1":"AGCCACGTCGGTGTTA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.208799823","4":"TRUE"},{"1":"AGCCACGTCGGTGTTA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.176316948","4":"TRUE"},{"1":"TTTGTTGCAGCCGTCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.166368515","4":"TRUE"},{"1":"TTTGTTGCAGCCGTCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.122228965","4":"TRUE"},{"1":"TGTTCCGCAGTAACCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.024682921","4":"FALSE"},{"1":"TGTTCCGCAGTAACCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.044045027","4":"FALSE"},{"1":"TCCTTTCTCCGCGGAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.158227975","4":"TRUE"},{"1":"TCCTTTCTCCGCGGAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.149079594","4":"TRUE"},{"1":"TTCCGTGGTTCGGTAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.186971116","4":"TRUE"},{"1":"TTCCGTGGTTCGGTAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.167350873","4":"TRUE"},{"1":"AGAAGTACACATGACT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.018451890","4":"FALSE"},{"1":"AGAAGTACACATGACT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.064065493","4":"FALSE"},{"1":"ACAGAAATCTGTAACG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.167031818","4":"TRUE"},{"1":"ACAGAAATCTGTAACG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.146414165","4":"TRUE"},{"1":"TCACAAGTCGGACGTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.154248156","4":"TRUE"},{"1":"TCACAAGTCGGACGTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.126066469","4":"TRUE"},{"1":"ACACGCGTCCTCTCGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.133725955","4":"TRUE"},{"1":"ACACGCGTCCTCTCGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.140625186","4":"TRUE"},{"1":"TGATGCAGTCAAACGG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.164077104","4":"TRUE"},{"1":"TGATGCAGTCAAACGG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.145509823","4":"TRUE"},{"1":"ATTTCACGTCCGGTCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.082149103","4":"FALSE"},{"1":"ATTTCACGTCCGGTCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.059865063","4":"FALSE"},{"1":"GCCAGCATCTTCCACG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.160378686","4":"TRUE"},{"1":"GCCAGCATCTTCCACG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.127363486","4":"TRUE"},{"1":"GTAGTACTCGGCTATA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.163554501","4":"TRUE"},{"1":"GTAGTACTCGGCTATA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.163447923","4":"TRUE"},{"1":"CTCAGAACACCGCTGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.034933971","4":"FALSE"},{"1":"CTCAGAACACCGCTGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.061554754","4":"FALSE"},{"1":"CCGGTAGGTCGCTCGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.169926233","4":"TRUE"},{"1":"CCGGTAGGTCGCTCGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.163769202","4":"TRUE"},{"1":"TACGCTCAGAGTCTTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.125022613","4":"TRUE"},{"1":"TACGCTCAGAGTCTTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.108408001","4":"TRUE"},{"1":"TGCGATATCCTCTAAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.167755422","4":"TRUE"},{"1":"TGCGATATCCTCTAAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.154285510","4":"TRUE"},{"1":"TCTACCGGTACGCGTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.037526884","4":"FALSE"},{"1":"TCTACCGGTACGCGTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.057282928","4":"FALSE"},{"1":"AAGAACACAGTAGATA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.191071536","4":"TRUE"},{"1":"AAGAACACAGTAGATA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.174811695","4":"TRUE"},{"1":"TCGAACACACGATAGG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.124781411","4":"TRUE"},{"1":"TCGAACACACGATAGG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.140083771","4":"TRUE"},{"1":"GACAGCCAGCTACTAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.039979096","4":"FALSE"},{"1":"GACAGCCAGCTACTAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.075488761","4":"FALSE"},{"1":"ACACTGATCATTTGGG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.174207554","4":"TRUE"},{"1":"ACACTGATCATTTGGG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.139643499","4":"TRUE"},{"1":"ACCTACCTCTTCGGAA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.144841310","4":"TRUE"},{"1":"ACCTACCTCTTCGGAA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.148686919","4":"TRUE"},{"1":"TTAGTCTTCATCAGTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.201965790","4":"TRUE"},{"1":"TTAGTCTTCATCAGTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.170456574","4":"TRUE"},{"1":"ATTCACTTCCTACTGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.159534482","4":"TRUE"},{"1":"ATTCACTTCCTACTGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.142558812","4":"TRUE"},{"1":"CGTGCTTCATGTTCGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.184539004","4":"TRUE"},{"1":"CGTGCTTCATGTTCGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.174460667","4":"TRUE"},{"1":"ACATCCCAGCTGGCTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.157544572","4":"TRUE"},{"1":"ACATCCCAGCTGGCTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.136228418","4":"TRUE"},{"1":"AACCACACATATAGCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.183795301","4":"TRUE"},{"1":"AACCACACATATAGCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.156135842","4":"TRUE"},{"1":"CCTAACCTCGTTCTAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.150449237","4":"TRUE"},{"1":"CCTAACCTCGTTCTAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.167154535","4":"TRUE"},{"1":"ACCTACCCAGCGTATT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.171232739","4":"TRUE"},{"1":"ACCTACCCAGCGTATT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.122014779","4":"TRUE"},{"1":"TTTACTGAGGTGATCG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.199433177","4":"TRUE"},{"1":"TTTACTGAGGTGATCG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.178809838","4":"TRUE"},{"1":"CACTGTCCAAGGATGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.169182529","4":"TRUE"},{"1":"CACTGTCCAAGGATGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.147306608","4":"TRUE"},{"1":"CCTAACCAGCCTGAGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.063476111","4":"FALSE"},{"1":"CCTAACCAGCCTGAGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.037220814","4":"FALSE"},{"1":"CTGTACCTCTCGACGG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.178106973","4":"TRUE"},{"1":"CTGTACCTCTCGACGG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.170165042","4":"TRUE"},{"1":"TACGGGCGTTACCCTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.143977005","4":"TRUE"},{"1":"TACGGGCGTTACCCTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.144849415","4":"TRUE"},{"1":"GTTGCTCCAAACACGG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.015235875","4":"FALSE"},{"1":"GTTGCTCCAAACACGG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.062530492","4":"FALSE"},{"1":"TCTGGCTGTATCGATC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.149504533","4":"TRUE"},{"1":"TCTGGCTGTATCGATC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.134336439","4":"TRUE"},{"1":"AGTACCAGTTGCTTGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.134630460","4":"TRUE"},{"1":"AGTACCAGTTGCTTGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.116600626","4":"TRUE"},{"1":"TGTTTGTAGCCTCACG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.153564752","4":"TRUE"},{"1":"TGTTTGTAGCCTCACG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.139423363","4":"TRUE"},{"1":"CATGAGTCATCCGAGC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.049265341","4":"FALSE"},{"1":"CATGAGTCATCCGAGC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.087881817","4":"FALSE"},{"1":"TCTCAGCCAAGAGGCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.034250568","4":"FALSE"},{"1":"TCTCAGCCAAGAGGCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.059174907","4":"FALSE"},{"1":"TACTGCCTCACGTCCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.174428655","4":"TRUE"},{"1":"TACTGCCTCACGTCCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.157498304","4":"TRUE"},{"1":"CGAGTTACAACGATCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.179915982","4":"TRUE"},{"1":"CGAGTTACAACGATCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.152107950","4":"TRUE"},{"1":"TTCCGGTCAAGTTCGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.182307893","4":"TRUE"},{"1":"TTCCGGTCAAGTTCGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.143237069","4":"TRUE"},{"1":"CGCCATTAGGATTTGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.138851480","4":"TRUE"},{"1":"CGCCATTAGGATTTGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.151203608","4":"TRUE"},{"1":"CTACTATGTCCGTACG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.158167675","4":"TRUE"},{"1":"CTACTATGTCCGTACG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.142862243","4":"TRUE"},{"1":"ACACTGATCGAACCAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.178730076","4":"TRUE"},{"1":"ACACTGATCGAACCAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.141327241","4":"TRUE"},{"1":"AGCTCAAAGGTTGGTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.175132158","4":"TRUE"},{"1":"AGCTCAAAGGTTGGTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.154939968","4":"TRUE"},{"1":"ATGAGTCTCGTTGCCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.178649675","4":"TRUE"},{"1":"ATGAGTCTCGTTGCCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.149662657","4":"TRUE"},{"1":"CTGCATCGTTACCCTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.125203513","4":"TRUE"},{"1":"CTGCATCGTTACCCTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.129237616","4":"TRUE"},{"1":"TATTGGGCAATTCTCT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.195292557","4":"TRUE"},{"1":"TATTGGGCAATTCTCT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.151768822","4":"TRUE"},{"1":"GTAGCTAGTAGCTGTT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.030351149","4":"FALSE"},{"1":"GTAGCTAGTAGCTGTT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.045258749","4":"FALSE"},{"1":"GAATCGTCAGTAGAAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.188699725","4":"TRUE"},{"1":"GAATCGTCAGTAGAAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.159759159","4":"TRUE"},{"1":"ATCATTCCACGGTCTG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.189704730","4":"TRUE"},{"1":"ATCATTCCACGGTCTG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.146860386","4":"TRUE"},{"1":"TCATGAGAGTAAACAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.033808366","4":"FALSE"},{"1":"TCATGAGAGTAAACAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.059454539","4":"FALSE"},{"1":"CCAATTTCATCTGTTT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.189282627","4":"TRUE"},{"1":"CCAATTTCATCTGTTT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.153268126","4":"TRUE"},{"1":"ACAAAGACAAGTATAG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.176880867","4":"TRUE"},{"1":"ACAAAGACAAGTATAG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.155874058","4":"TRUE"},{"1":"ACAACCAAGACGCCAA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.042994111","4":"FALSE"},{"1":"ACAACCAAGACGCCAA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.064493866","4":"FALSE"},{"1":"ATGAGTCTCGTTCCCA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.199091476","4":"TRUE"},{"1":"ATGAGTCTCGTTCCCA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.143962922","4":"TRUE"},{"1":"TGAATCGCACAGTCCG","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.145625214","4":"TRUE"},{"1":"TGAATCGCACAGTCCG","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.126816121","4":"TRUE"},{"1":"CGTAAGTGTAACATCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.163092199","4":"TRUE"},{"1":"CGTAAGTGTAACATCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.143962922","4":"TRUE"},{"1":"TACACCCAGTATTGCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.155052160","4":"TRUE"},{"1":"TACACCCAGTATTGCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.110079844","4":"TRUE"},{"1":"GGTTAACTCCCAACTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.015276075","4":"FALSE"},{"1":"GGTTAACTCCCAACTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.054682945","4":"FALSE"},{"1":"AATGCCAAGAAAGCGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.032803361","4":"FALSE"},{"1":"AATGCCAAGAAAGCGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.072002285","4":"FALSE"},{"1":"GAAATGATCCTAGCTC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.189423328","4":"TRUE"},{"1":"GAAATGATCCTAGCTC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.179291757","4":"TRUE"},{"1":"AGTGTTGCAGCTACAT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.184297803","4":"TRUE"},{"1":"AGTGTTGCAGCTACAT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.152982544","4":"TRUE"},{"1":"ACATGCAGTTGCCATA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.009909349","4":"FALSE"},{"1":"ACATGCAGTTGCCATA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.054266472","4":"FALSE"},{"1":"GTTACCCCACCTGCGA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.149966835","4":"TRUE"},{"1":"GTTACCCCACCTGCGA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.125227573","4":"TRUE"},{"1":"CAATACGGTTGGACCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.007658138","4":"FALSE"},{"1":"CAATACGGTTGGACCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.053968991","4":"FALSE"},{"1":"GAGTCTACACCACATA","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.025949227","4":"FALSE"},{"1":"GAGTCTACACCACATA","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.044425802","4":"FALSE"},{"1":"CGGAGAAAGTAGGATT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.181081787","4":"TRUE"},{"1":"CGGAGAAAGTAGGATT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.167951784","4":"TRUE"},{"1":"ATCGCCTGTCTAACGT","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.177664771","4":"TRUE"},{"1":"ATCGCCTGTCTAACGT","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.163073097","4":"TRUE"},{"1":"GTCATCCAGCTGTTAC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.083897811","4":"FALSE"},{"1":"GTCATCCAGCTGTTAC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.115119171","4":"TRUE"},{"1":"TCCTTTCTCCAGTTCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.030572250","4":"FALSE"},{"1":"TCCTTTCTCCAGTTCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.066421542","4":"FALSE"},{"1":"ACGGAAGGTGTGACCC","2":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","3":"0.015557476","4":"FALSE"},{"1":"ACGGAAGGTGTGACCC","2":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","3":"0.041926962","4":"FALSE"}],"options":{"columns":{"min":{},"max":[10],"total":[4]},"rows":{"min":[10],"max":[10],"total":[8554]},"pages":{}}}
- </script>
-</div>
-
-<!-- rnb-frame-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-To draw vertical lines representing the automatically chosen threshold, we can create a separate data frame.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuYXVjX3RocmVzaG9sZF9kZiA8LSBkYXRhLmZyYW1lKFxuICBnZW5lX3NldCA9IGV3aW5nX2dlbmVfc2V0X25hbWVzLFxuICAjIEdyYWIgdGhyZXNob2xkcyBhc3NvY2lhdGVkIHdpdGggZWFjaCBnZW5lIHNldCBmcm9tIGFzc2lnbmVtZW50cyBvYmplY3RcbiAgdGhyZXNob2xkID0gYyhhdWNfYXNzaWdubWVudHNbW2V3aW5nX2dlbmVfc2V0X25hbWVzWzFdXV0kYXVjVGhyJHNlbGVjdGVkLCBcbiAgICAgICAgICAgICAgICBhdWNfYXNzaWdubWVudHNbW2V3aW5nX2dlbmVfc2V0X25hbWVzWzJdXV0kYXVjVGhyJHNlbGVjdGVkKVxuKVxuXG5hdWNfdGhyZXNob2xkX2RmXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-auc_threshold_df <- data.frame(
+
+
+
+
+
+
+
+
+To draw vertical lines representing the automatically chosen
+threshold, we can create a separate data frame.
+
+
+
+auc_threshold_df <- data.frame(
gene_set = ewing_gene_set_names,
# Grab thresholds associated with each gene set from assignements object
threshold = c(auc_assignments[[ewing_gene_set_names[1]]]$aucThr$selected,
@@ -3773,38 +3394,23 @@ Libraries
)
auc_threshold_df
-
-<!-- rnb-source-end -->
-
-<!-- rnb-frame-begin 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 -->
-
-<div data-pagedtable="false">
- <script data-pagedtable-source type="application/json">
-{"columns":[{"label":["gene_set"],"name":[1],"type":["chr"],"align":["left"]},{"label":["threshold"],"name":[2],"type":["dbl"],"align":["right"]}],"data":[{"1":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","2":"0.08508344"},{"1":"RIGGI_EWING_SARCOMA_PROGENITOR_UP","2":"0.08929487"}],"options":{"columns":{"min":{},"max":[10],"total":[2]},"rows":{"min":[10],"max":[10],"total":[2]},"pages":{}}}
- </script>
-</div>
-
-<!-- rnb-frame-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-Now let's make a density plot, plotting the density of the assigned and unassigned cells separately and drawing a vertical line for the threshold.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin 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 -->
-
-```r
-```r
-auc_plotting_df |>
+
+
+
+
+
+
+
+
+Now let’s make a density plot, plotting the density of the assigned
+and unassigned cells separately and drawing a vertical line for the
+threshold.
+
+
+
+auc_plotting_df |>
ggplot2::ggplot(
ggplot2::aes(
x = auc, # AUC values
@@ -3821,42 +3427,27 @@ Libraries
ggplot2::facet_grid(cols = ggplot2::vars(gene_set)) +
# Use a built-in theme
ggplot2::theme_bw()
-
-<!-- rnb-source-end -->
-
-<!-- rnb-plot-begin -->
-
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" />
-
-<!-- rnb-plot-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-For these particular gene sets, the AUC values appear to be bimodally distributed, and we can easily identify cells where the genes are highly expressed.
-
-### UMAPs
-
-#### `colData`
-
-We can also add the AUC values back into the SingleCellExperiment for convenience, e.g., for plotting.
-We'll add it to the existing `colData`.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin 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 -->
-
-```r
-```r
-# Extract the existing colData, and left join it with the AUC values by the
+
+
+
+
+
+
+For these particular gene sets, the AUC values appear to be bimodally
+distributed, and we can easily identify cells where the genes are highly
+expressed.
+
+
+UMAPs
+
+colData
+We can also add the AUC values back into the SingleCellExperiment for
+convenience, e.g., for plotting. We’ll add it to the existing
+colData.
+
+
+
+# Extract the existing colData, and left join it with the AUC values by the
# barcodes
coldata_df <- colData(sce) |>
as.data.frame() |>
@@ -3865,191 +3456,135 @@ Libraries
# Use shorter names
dplyr::rename(zhang_auc = ewing_gene_set_names[1],
riggi_auc = ewing_gene_set_names[2]),
- by = \barcodes\
+ by = "barcodes"
)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-Now, we're ready to add it back to the object.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBXZSBuZWVkIHRvIHNhdmUgdGhpcyBhcyBhIERhdGFGcmFtZVxuY29sRGF0YShzY2UpIDwtIERhdGFGcmFtZShcbiAgY29sZGF0YV9kZixcbiAgcm93Lm5hbWVzID0gY29sRGF0YShzY2UpJGJhcmNvZGVzXG4pXG5gYGBcbmBgYCJ9 -->
-
-```r
-```r
-# We need to save this as a DataFrame
+
+
+
+Now, we’re ready to add it back to the object.
+
+
+
+# We need to save this as a DataFrame
colData(sce) <- DataFrame(
coldata_df,
row.names = colData(sce)$barcodes
)
-
-<!-- rnb-source-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-#### Plotting UMAPs
-
-We can use the `plotUMAP()` function from the `scater` package to plot a UMAP with the points colored by the AUC value
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2NhdGVyOjpwbG90VU1BUChzY2UsIGNvbG91cl9ieSA9IFxcemhhbmdfYXVjXFwpICtcbiAgIyBVc2UgdGhlIGdlbmUgc2V0IG5hbWUsIHJlcGxhY2luZyB1bmRlcnNjb3JlcyB3aXRoIHNwYWNlc1xuICBnZ3Bsb3QyOjpnZ3RpdGxlKHN0cmluZ3I6OnN0cl9yZXBsYWNlX2FsbChld2luZ19nZW5lX3NldF9uYW1lc1sxXSwgXG4gICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIFxcXFxcXF9cXCwgXG4gICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIFxcIFxcKSlcbmBgYFxuYGBgIn0= -->
-
-```r
-```r
-scater::plotUMAP(sce, colour_by = \zhang_auc\) +
+
+
+
+
+
+Plotting UMAPs
+We can use the plotUMAP() function from the
+scater package to plot a UMAP with the points colored by
+the AUC value
+
+
+
+scater::plotUMAP(sce, colour_by = "zhang_auc") +
# Use the gene set name, replacing underscores with spaces
ggplot2::ggtitle(stringr::str_replace_all(ewing_gene_set_names[1],
- \\\_\,
- \ \))
-
-<!-- rnb-source-end -->
-
-<!-- rnb-plot-begin -->
-
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/>
-
-<!-- rnb-plot-end -->
-
-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-Let's color the points by the AUC values for the other gene set.
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2NhdGVyOjpwbG90VU1BUChzY2UsIGNvbG91cl9ieSA9IFxccmlnZ2lfYXVjXFwpICsgXG4gIGdncGxvdDI6OmdndGl0bGUoc3RyaW5ncjo6c3RyX3JlcGxhY2VfYWxsKGV3aW5nX2dlbmVfc2V0X25hbWVzWzJdLCBcbiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgXFxcXFxcX1xcLCBcbiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgXFwgXFwpKVxuYGBgXG5gYGAifQ== -->
-
-```r
-```r
-scater::plotUMAP(sce, colour_by = \riggi_auc\) +
+ "\\_",
+ " "))
+
+
+
+
+
+
+Let’s color the points by the AUC values for the other gene set.
+
+
+
+scater::plotUMAP(sce, colour_by = "riggi_auc") +
ggplot2::ggtitle(stringr::str_replace_all(ewing_gene_set_names[2],
- \\\_\,
- \ \))
-
-<!-- rnb-source-end -->
-
-<!-- rnb-plot-begin -->
-
-<img 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" />
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-<!-- rnb-plot-end -->
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-<!-- rnb-chunk-end -->
-
-
-<!-- rnb-text-begin -->
-
-
-We would want to do something more formal to confirm, but it seems like the same cells have high AUC values for both gene sets!
-
-## Session Info
-
-
-<!-- rnb-text-end -->
-
-
-<!-- rnb-chunk-begin -->
-
-
-<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2Vzc2lvbkluZm8oKVxuYGBgXG5gYGAifQ== -->
-
-```r
-```r
-sessionInfo()
-
-<!-- rnb-source-end -->
-
-<!-- rnb-output-begin 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-->
-
-R version 4.4.0 (2024-04-24) Platform: x86_64-pc-linux-gnu Running
-under: Ubuntu 22.04.4 LTS
-Matrix products: default BLAS:
-/usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 LAPACK:
-/usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;
-LAPACK version 3.10.0
-locale: [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8
-LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8
-[6] LC_MESSAGES=C.UTF-8 LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
-LC_TELEPHONE=C
-[11] LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
-time zone: Etc/UTC tzcode source: system (glibc)
-attached base packages: [1] stats4 stats graphics grDevices datasets
-utils methods base
-other attached packages: [1] msigdbr_7.5.1 GSEABase_1.66.0
-graph_1.82.0 annotate_1.82.0
-[5] XML_3.99-0.16.1 AnnotationDbi_1.66.0 AUCell_1.26.0
-SingleCellExperiment_1.26.0 [9] SummarizedExperiment_1.34.0
-Biobase_2.64.0 GenomicRanges_1.56.0 GenomeInfoDb_1.40.0
-[13] IRanges_2.38.0 S4Vectors_0.42.0 BiocGenerics_0.50.0
-MatrixGenerics_1.16.0
-[17] matrixStats_1.3.0
-loaded via a namespace (and not attached): [1] DBI_1.2.2
-gridExtra_2.3 rlang_1.1.3 magrittr_2.0.3
-[5] scater_1.32.0 compiler_4.4.0 RSQLite_2.3.6 DelayedMatrixStats_1.26.0
-[9] png_0.1-8 vctrs_0.6.5 stringr_1.5.1 pkgconfig_2.0.3
-[13] crayon_1.5.2 fastmap_1.1.1 XVector_0.44.0 labeling_0.4.3
-[17] scuttle_1.14.0 utf8_1.2.4 tzdb_0.4.0 UCSC.utils_1.0.0
-[21] ggbeeswarm_0.7.2 purrr_1.0.2 bit_4.0.5 xfun_0.43
-[25] zlibbioc_1.50.0 cachem_1.0.8 beachmat_2.20.0 jsonlite_1.8.8
-[29] blob_1.2.4 DelayedArray_0.30.0 BiocParallel_1.38.0
-irlba_2.3.5.1
-[33] parallel_4.4.0 R6_2.5.1 stringi_1.8.3 Rcpp_1.0.12
-[37] knitr_1.46 mixtools_2.0.0 R.utils_2.12.3 readr_2.1.5
-[41] splines_4.4.0 Matrix_1.7-0 tidyselect_1.2.1 viridis_0.6.5
-[45] rstudioapi_0.16.0 abind_1.4-5 yaml_2.3.8 codetools_0.2-20
-[49] lattice_0.22-6 tibble_3.2.1 withr_3.0.0 KEGGREST_1.44.0
-[53] survival_3.5-8 kernlab_0.9-33 Biostrings_2.72.0 pillar_1.9.0
-[57] BiocManager_1.30.22 renv_1.0.7 plotly_4.10.4 generics_0.1.3
-[61] vroom_1.6.5 hms_1.1.3 ggplot2_3.5.1 sparseMatrixStats_1.16.0 [65]
-munsell_0.5.1 scales_1.3.0 xtable_1.8-4 glue_1.7.0
-[69] lazyeval_0.2.2 tools_4.4.0 BiocNeighbors_1.22.0
-data.table_1.15.4
-[73] ScaledMatrix_1.12.0 babelgene_22.9 fs_1.6.4 cowplot_1.1.3
-[77] grid_4.4.0 tidyr_1.3.1 colorspace_2.1-0 nlme_3.1-164
-[81] GenomeInfoDbData_1.2.12 beeswarm_0.4.0 BiocSingular_1.20.0
-vipor_0.4.7
-[85] cli_3.6.2 rsvd_1.0.5 fansi_1.0.6 segmented_2.1-3
-[89] viridisLite_0.4.2 S4Arrays_1.4.0 dplyr_1.1.4 gtable_0.3.5
-[93] R.methodsS3_1.8.2 digest_0.6.35 ggrepel_0.9.5
-SparseArray_1.4.0
-[97] farver_2.1.1 htmlwidgets_1.6.4 htmltools_0.5.8.1
-memoise_2.0.1
-[101] R.oo_1.26.0 lifecycle_1.0.4 httr_1.4.7 MASS_7.3-60.2
-[105] bit64_4.0.5
-```
-
+ "\\_",
+ " "))
+
+
+
+
+
+We would want to do something more formal to confirm, but it seems
+like the same cells have high AUC values for both gene sets!
+
+
+
+Session Info
+
+
+
+sessionInfo()
+
+
+R version 4.4.0 (2024-04-24)
+Platform: x86_64-pc-linux-gnu
+Running under: Ubuntu 22.04.4 LTS
+
+Matrix products: default
+BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0
+
+locale:
+ [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8 LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8
+ [6] LC_MESSAGES=C.UTF-8 LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
+[11] LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
+
+time zone: Etc/UTC
+tzcode source: system (glibc)
+
+attached base packages:
+[1] stats4 stats graphics grDevices datasets utils methods base
+
+other attached packages:
+ [1] GSEABase_1.66.0 graph_1.82.0 annotate_1.82.0 XML_3.99-0.16.1
+ [5] AnnotationDbi_1.66.0 AUCell_1.26.0 SingleCellExperiment_1.26.0 SummarizedExperiment_1.34.0
+ [9] Biobase_2.64.0 GenomicRanges_1.56.0 GenomeInfoDb_1.40.0 IRanges_2.38.0
+[13] S4Vectors_0.42.0 BiocGenerics_0.50.0 MatrixGenerics_1.16.0 matrixStats_1.3.0
+[17] msigdbr_7.5.1 clusterProfiler_4.12.0
+
+loaded via a namespace (and not attached):
+ [1] splines_4.4.0 ggplotify_0.1.2 tibble_3.2.1 R.oo_1.26.0
+ [5] polyclip_1.10-6 lifecycle_1.0.4 lattice_0.22-6 vroom_1.6.5
+ [9] MASS_7.3-60.2 magrittr_2.0.3 plotly_4.10.4 sass_0.4.9
+ [13] rmarkdown_2.26 jquerylib_0.1.4 yaml_2.3.8 cowplot_1.1.3
+ [17] DBI_1.2.2 RColorBrewer_1.1-3 abind_1.4-5 zlibbioc_1.50.0
+ [21] purrr_1.0.2 mixtools_2.0.0 R.utils_2.12.3 ggraph_2.2.1
+ [25] yulab.utils_0.1.4 tweenr_2.0.3 GenomeInfoDbData_1.2.12 enrichplot_1.24.0
+ [29] ggrepel_0.9.5 irlba_2.3.5.1 tidytree_0.4.6 DelayedMatrixStats_1.26.0
+ [33] codetools_0.2-20 DelayedArray_0.30.0 DOSE_3.30.0 scuttle_1.14.0
+ [37] ggforce_0.4.2 tidyselect_1.2.1 aplot_0.2.2 UCSC.utils_1.0.0
+ [41] farver_2.1.1 ScaledMatrix_1.12.0 viridis_0.6.5 jsonlite_1.8.8
+ [45] BiocNeighbors_1.22.0 tidygraph_1.3.1 survival_3.5-8 scater_1.32.0
+ [49] segmented_2.1-3 tools_4.4.0 treeio_1.28.0 Rcpp_1.0.12
+ [53] glue_1.7.0 gridExtra_2.3 SparseArray_1.4.0 xfun_0.43
+ [57] qvalue_2.36.0 dplyr_1.1.4 withr_3.0.0 BiocManager_1.30.22
+ [61] fastmap_1.1.1 fansi_1.0.6 digest_0.6.35 rsvd_1.0.5
+ [65] R6_2.5.1 gridGraphics_0.5-1 colorspace_2.1-0 GO.db_3.19.1
+ [69] RSQLite_2.3.6 R.methodsS3_1.8.2 utf8_1.2.4 tidyr_1.3.1
+ [73] generics_0.1.3 renv_1.0.7 data.table_1.15.4 graphlayouts_1.1.1
+ [77] httr_1.4.7 htmlwidgets_1.6.4 S4Arrays_1.4.0 scatterpie_0.2.2
+ [81] pkgconfig_2.0.3 gtable_0.3.5 blob_1.2.4 XVector_0.44.0
+ [85] shadowtext_0.1.3 htmltools_0.5.8.1 fgsea_1.30.0 scales_1.3.0
+ [89] png_0.1-8 ggfun_0.1.4 knitr_1.46 rstudioapi_0.16.0
+ [93] tzdb_0.4.0 reshape2_1.4.4 nlme_3.1-164 cachem_1.0.8
+ [97] stringr_1.5.1 parallel_4.4.0 vipor_0.4.7 HDO.db_0.99.1
+[101] pillar_1.9.0 grid_4.4.0 vctrs_0.6.5 BiocSingular_1.20.0
+[105] beachmat_2.20.0 xtable_1.8-4 beeswarm_0.4.0 evaluate_0.23
+[109] readr_2.1.5 cli_3.6.2 compiler_4.4.0 rlang_1.1.3
+[113] crayon_1.5.2 labeling_0.4.3 plyr_1.8.9 fs_1.6.4
+[117] ggbeeswarm_0.7.2 stringi_1.8.3 viridisLite_0.4.2 BiocParallel_1.38.0
+[121] babelgene_22.9 munsell_0.5.1 Biostrings_2.72.0 lazyeval_0.2.2
+[125] GOSemSim_2.30.0 Matrix_1.7-0 hms_1.1.3 patchwork_1.2.0
+[129] sparseMatrixStats_1.16.0 bit64_4.0.5 ggplot2_3.5.1 KEGGREST_1.44.0
+[133] kernlab_0.9-33 igraph_2.0.3 memoise_2.0.1 bslib_0.7.0
+[137] ggtree_3.12.0 fastmatch_1.1-4 bit_4.0.5 ape_5.8
+[141] gson_0.1.0
+
+
---
title: "Pathway Analysis: AUCell"
output:
  html_notebook:
    toc: true
    toc_float: true
author: CCDL for ALSF
date: 2024
---

*Adapted from [the AUCell vignette](https://bioconductor.org/packages/release/bioc/vignettes/AUCell/inst/doc/AUCell.html) and [the `cell-type-ewings` module](https://github.com/AlexsLemonade/OpenScPCA-analysis/tree/main/analyses/cell-type-ewings) that is part of the Open Single-cell Pediatric Cancer Atlas project.*

## Objectives

- Introduce the `AUCell` R package
- Illustrate how AUC values are calculated
- Demonstrate how AUC values can be used for cell assignment and plotting

---

In this notebook, we'll demonstrate how to use the AUCell method, introduced in [Aibar _et al_. 2017.](https://doi.org/10.1038/nmeth.4463), to calculate numeric values that estimate the activity of a gene set in an individual cell.

AUCell calculates the area under the recovery curve (AUC), which "represents the proportion of expressed genes in the signature and their relative expression value compared to the other genes within the cell" ([Aibar _et al_. 2017.](https://doi.org/10.1038/nmeth.4463)).

We will use an snRNA-seq of a Ewing sarcoma sample from the [`SCPCP000015` project](https://scpca.alexslemonade.org/projects/SCPCP000015) on the Single-cell Pediatric Cancer Atlas Portal and two relevant gene sets from the Molecular Signatures Database (MSigDB) to demonstrate this method.

## Set up

### Libraries

```{r libraries}
# We will be loading a SingleCellExperiment object into our environment but 
# don't need to see the startup messages
suppressPackageStartupMessages({
  library(SingleCellExperiment)
})

# Library we'll use for the gene set analysis itself
library(AUCell)

# Libraries for accessing and working with gene sets
library(GSEABase)
library(msigdbr)
```
### Directories and files

#### Directories

```{r setup_directories}
# Input data 
ewing_data_dir <- fs::path("data", "ewing-sarcoma")
processed_dir <- fs::path(ewing_data_dir, "processed")

# Directory for holding pathway analysis results
analysis_dir <- fs::path("analysis", "ewing-sarcoma", "pathway-analysis")
# Create if it doesn't exist yet
fs::dir_create(analysis_dir)
```

#### Files

The input will be a `SingleCellExperiment` for an individual Ewing sarcoma library.

```{r setup_input_files}
sce_file <- fs::path(processed_dir, 
                     "SCPCS000490", 
                     "SCPCL000822_processed.rds")
```

We will save the AUCell results as a table in the analysis directory.

```{r setup_output_files, live = TRUE}
output_file <- fs::path(analysis_dir,
                        "ewing_sarcoma_aucell_results.tsv")
```


### Functions

The `source()` function allows us to load in custom functions we saved in an `.R` file.

```{r source_functions}
source(fs::path("util", "aucell_functions.R"))
```

This loads one custom function, called `plot_recovery_curve()`, into our environment.
This function is adapted from [the AUCell vignette](https://github.com/aertslab/AUCell/blob/91753b327a39dc7a4bbed46408ec2271c485f2f0/vignettes/AUCell.Rmd#L295-L316).

## Set up gene sets

We are going to use two gene sets pertaining to Ewing sarcoma.

* [`ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION`](https://www.gsea-msigdb.org/gsea/msigdb/geneset_page.jsp?geneSetName=ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION), which are genes that were highly expressed in a rhabdomyosarcoma cell line engineered to express the EWSR1-FLI1 fusion.
* [`RIGGI_EWING_SARCOMA_PROGENITOR_UP`](https://www.gsea-msigdb.org/gsea/msigdb/cards/RIGGI_EWING_SARCOMA_PROGENITOR_UP), which are genes that were highly expressed in mesenchymal stem cells engineered to express the EWS-FLI1 fusion protein.

We would expect both of these gene sets to have high expression in tumor cells.

```{r genesets}
ewing_gene_set_names <- c("ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION",
                          "RIGGI_EWING_SARCOMA_PROGENITOR_UP")
```

These gene sets come from the C2 gene set collection from MSigDB.
Let's retrieve them using `msigdbr()`.

```{r extract_genesets, live = TRUE}
ewing_gene_sets_df <- msigdbr(species = "Homo sapiens",
                              category = "C2",
                              subcategory = "CGP") |>
  dplyr::filter(gs_name %in% ewing_gene_set_names)
```

`AUCell` uses gene sets in a particular format that comes from the `GSEABase` package.
We need to create a `GeneSetCollection`.

```{r gene_set_collection}
ewing_gene_set_collection <- ewing_gene_set_names |>
  purrr::map(
    # For each gene set
    \(gene_set_name) ewing_gene_sets_df |>
      # Subset to the rows in that gene set
      dplyr::filter(gs_name == gene_set_name) |>
      # Grab the Ensembl gene identifiers
      dplyr::pull(ensembl_gene) |>
      # Create a GeneSet object
      GeneSet(setName = gene_set_name,
              geneIdType = ENSEMBLIdentifier())
  ) |>
  # Turn the list of GeneSet objects into a GeneSet collection
  GeneSetCollection()
```

## Read in and prepare SingleCellExperiment

```{r read_in_sce, live = TRUE}
sce <- readr::read_rds(sce_file)
```

The `AUCell` functions takes an expression matrix with genes as rows and cells as column.
We can save a counts matrix in sparse format for use with `AUCell`.

```{r sparse_matrix}
# Extract counts matrix and save in sparse format
counts_matrix <- counts(sce) |>
  as("dgCMatrix")
```

There may be genes in our gene set that do not appear in the SingleCellExperiment object.
We can remove them using the `subsetGeneSets()` function.

```{r subset_gene_sets, live = TRUE}
# Remove genes from gene sets if they are not in the SCE
ewing_gene_set_collection <- subsetGeneSets(ewing_gene_set_collection,
                                            rownames(counts_matrix))
```

## AUCell

AUCell relies on gene rankings, but we expect a proportion of genes are not detected.
Genes can also have the same expression level (i.e., ties).
These undetected genes and ties will be randomly ordered.
To make our results reproducible, we will set a seed.

```{r set_seed, live = TRUE}
set.seed(2024)
```

### Cell ranking

The first step in AUCell is to rank genes for each cell from highest to lowest values.

```{r cell_rankings}
cell_rankings <- AUCell_buildRankings(counts_matrix)
```
We want to make sure most cells have at least the number of genes we will use to calculate the AUC.
By default, the max rank is the top 5% highest expressed genes.
We can calculate the default max rank by taking into account the number of genes.

```{r explore_auc_max_rank}
nrow(cell_rankings) * 0.05
```

This number is probably too high, given the distribution of the number of genes detected by cell.
What if we chose a 1% threshold?

```{r lower_max_rank, live = TRUE}
nrow(cell_rankings) * 0.01
```

That is probably a more reasonable choice for this dataset.
We can use a function called `ceiling()` to round this and save it to a variable for later use.

```{r auc_max_rank, live = TRUE}
auc_max_rank <- ceiling(nrow(cell_rankings) * 0.01)
```

### Plotting AUC

The scores or values we get out of AUCell are the area under a recovery curve and estimate the proportion of genes in the gene set are highly expressed (i.e., highly ranked).

Let's make two plots to get a better intuition about AUC values.
Earlier, we loaded a custom function we adapted from [the AUCell vignette](https://github.com/aertslab/AUCell/blob/91753b327a39dc7a4bbed46408ec2271c485f2f0/vignettes/AUCell.Rmd) called `plot_recovery_curve()` with `source()`.

First, we'll start with a cell with a high AUC.
We picked this barcode ahead of time when we wrote the notebook.

```{r high_recovery_curve}
plot_recovery_curve(cell_rankings,
                    ewing_gene_set_collection,
                    gene_set_name = "ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION",
                    barcode = "CTGAGCGGTCTTTATC",
                    auc_max_rank = auc_max_rank)  # 1% threshold 
```

The x-axis is the gene ranks for all genes.
The y-axis is the number of genes in the signature at a given point in the gene ranking -- the line will rise when a gene in the gene set is encountered in the ranking from highest to lowest.
The AUC is the area under this recovery curve at the max rank threshold chosen for this dataset.

Now, let's look at an example with a low AUC.

```{r low_recovery_curve}
plot_recovery_curve(cell_rankings,
                    ewing_gene_set_collection,
                    gene_set_name = "ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION",
                    barcode = "AGATAGAGTCACAATC",
                    auc_max_rank = auc_max_rank)  # 1% threshold
```

Far fewer genes in the gene set are ranked above the threshold, yielding a lower AUC value.

### Calculating the AUC

Once we have the rankings, we can calculate the AUC scores for both gene sets in all cells with the `AUCell_calcAUC()` function.

```{r calc_auc}
cell_auc <- AUCell_calcAUC(geneSets = ewing_gene_set_collection, 
                           rankings = cell_rankings,
                           aucMaxRank = auc_max_rank)
```

This function returns an `aucellResults` object.

```{r check_str, live = TRUE}
str(cell_auc)
```

To save this to a file, we'll likely want this in a tabular format.

```{r auc_to_table}
# Extract AUC
auc_df <- cell_auc@assays@data$AUC |>
  # Transpose
  t() |>
  # Convert to data frame
  as.data.frame() |>
  # Make the barcodes a column
  tibble::rownames_to_column("barcodes") 

# Look at first few rows
head(auc_df)
```

Let's write this table to the output file.

```{r write_auc_df, live = TRUE}
auc_df |>
  # Use shorter names to save to file
  dplyr::rename(zhang_auc = ewing_gene_set_names[1],
                riggi_auc = ewing_gene_set_names[2]) |>
  readr::write_tsv(file = output_file)
```

### Assignments

AUCell can assign cells as having an active gene set or not by picking a threshold.
We'll explore these in a later plot, but for now, let's calculate the threshold and assign cells with `AUCell_exploreThresholds()`.

```{r auc_assignments, live = TRUE}
auc_assignments <- AUCell_exploreThresholds(cell_auc, 
                                            plotHist = FALSE, 
                                            assignCells = TRUE)
```

We're going to plot the distribution of AUC values with `ggplot2`, so we will want the AUC values in a longer format.

```{r auc_plotting_df}
auc_plotting_df <- auc_df |>
  tidyr::pivot_longer(!barcodes,
                      names_to = "gene_set",
                      values_to = "auc") |>
  dplyr::mutate(
    # Create a new logical column called assigned
    assigned = dplyr::case_when(
      # For Zhang gene set rows, set to TRUE when the barcode is in the assignment list
      gene_set == ewing_gene_set_names[1] & 
        barcodes %in% auc_assignments[[ewing_gene_set_names[1]]]$assignment ~ TRUE,
      # For Riggi gene set rows, set to TRUE when the barcode is in the 
      # assignment list
      gene_set == ewing_gene_set_names[2] & 
        barcodes %in% auc_assignments[[ewing_gene_set_names[2]]]$assignment ~ TRUE,
      # Otherwise, set to FALSE
      .default = FALSE
    )
  )

auc_plotting_df
```

To draw vertical lines representing the automatically chosen threshold, we can create a separate data frame.

```{r auc_threshold_df}
auc_threshold_df <- data.frame(
  gene_set = ewing_gene_set_names,
  # Grab thresholds associated with each gene set from assignements object
  threshold = c(auc_assignments[[ewing_gene_set_names[1]]]$aucThr$selected, 
                auc_assignments[[ewing_gene_set_names[2]]]$aucThr$selected)
)

auc_threshold_df
```
Now let's make a density plot, plotting the density of the assigned and unassigned cells separately and drawing a vertical line for the threshold.

```{r auc_density_plot}
auc_plotting_df |>
  ggplot2::ggplot(
    ggplot2::aes(
      x = auc,  # AUC values
      color = assigned,  # Group by assignment
      fill = assigned,   # Group by assignment
    )
  ) +
  ggplot2::geom_density(alpha = 0.2) +
  # Draw a vertical dotted line showing the threshold for each gene set
  ggplot2::geom_vline(data = auc_threshold_df,
                      mapping = ggplot2::aes(xintercept = threshold),
                      lty = 2) +
  # Plot each gene set in its own facet
  ggplot2::facet_grid(cols = ggplot2::vars(gene_set)) +
  # Use a built-in theme
  ggplot2::theme_bw()
```

For these particular gene sets, the AUC values appear to be bimodally distributed, and we can easily identify cells where the genes are highly expressed.

### UMAPs

#### `colData`

We can also add the AUC values back into the SingleCellExperiment for convenience, e.g., for plotting.
We'll add it to the existing `colData`.

```{r coldata, live = TRUE}
# Extract the existing colData, and left join it with the AUC values by the
# barcodes
coldata_df <- colData(sce) |>
  as.data.frame() |>
  dplyr::left_join(
    auc_df |> 
      # Use shorter names
      dplyr::rename(zhang_auc = ewing_gene_set_names[1],
                    riggi_auc = ewing_gene_set_names[2]),
    by = "barcodes"
  )
```

Now, we're ready to add it back to the object.

```{r add_back_colData, live = TRUE}
# We need to save this as a DataFrame
colData(sce) <- DataFrame(
  coldata_df,
  row.names = colData(sce)$barcodes
)
```

#### Plotting UMAPs

We can use the `plotUMAP()` function from the `scater` package to plot a UMAP with the points colored by the AUC value

```{r plot_umap_zhang}
scater::plotUMAP(sce, colour_by = "zhang_auc") +
  # Use the gene set name, replacing underscores with spaces
  ggplot2::ggtitle(stringr::str_replace_all(ewing_gene_set_names[1], 
                                            "\\_", 
                                            " "))
```

Let's color the points by the AUC values for the other gene set.

```{r plot_umap_riggi, live = TRUE}
scater::plotUMAP(sce, colour_by = "riggi_auc") + 
  ggplot2::ggtitle(stringr::str_replace_all(ewing_gene_set_names[2], 
                                            "\\_", 
                                            " "))
```

We would want to do something more formal to confirm, but it seems like the same cells have high AUC values for both gene sets!

## Session Info

```{r session_info}
sessionInfo()
```
