DESCRIPTION

Package: SurfR
Type: Package
Title: Surface Protein Prediction and Identification
Version: 1.3.6
Authors@R: c(person("Aurora", "Maurizio", email="auroramaurizio1@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0002-7194-4637")),
           person("Anna Sofia", "Tascini", email="volpesofi@gmail.com", role = c("aut", "ctb"), comment = c(ORCID = "0000-0001-5731-5490")))
Description: Identify Surface Protein coding genes from a list of candidates.
             Systematically download data from GEO and TCGA or use your own data. 
             Perform DGE on bulk RNAseq data. 
             Perform Meta-analysis. Descriptive enrichment analysis and plots.
License: GPL-3 + file LICENSE
Encoding: UTF-8
LazyData: false
BugReports: https://github.com/auroramaurizio/SurfR/issues
URL: https://github.com/auroramaurizio/SurfR
biocViews: Software, Sequencing, RNASeq, GeneExpression, Transcription, DifferentialExpression, 
           PrincipalComponent, GeneSetEnrichment, Pathways, BatchEffect,
           FunctionalGenomics, Visualization, DataImport, FunctionalPrediction, GenePrediction, GO
VignetteBuilder: knitr
RoxygenNote: 7.2.3
Imports:
  httr,
  BiocFileCache,
  SPsimSeq,
  DESeq2,
  edgeR,
  openxlsx,
  stringr,
  rhdf5,
  ggplot2,
  ggrepel,
  stats,
  magrittr,
  assertr,
  tidyr,
  dplyr,
  TCGAbiolinks,
  biomaRt,
  metaRNASeq,
  scales,
  venn,
  gridExtra,
  SummarizedExperiment,
  knitr,
  rjson,
  grDevices, 
  graphics, 
  curl,
  utils
Depends:
  R (>= 4.3.0)
Suggests: 
    BiocStyle,
    testthat (>= 3.0.0)
Config/testthat/edition: 3