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ruoyeruolan/README.md

Hi there 👋. I’m ruoyeruolan, a master’s student at Suzhou University with expertise in omics data analysis, particularly scRNA-seq.

My favorite tools and technologies

icon
Python 		VsCode
VsCode 		Pycharm
Pycharm 		Pycharm
Pycharm 		LaTeX
LaTeX 		Github
Github 		Git
Git 		icon
MySQL 		icon
AWS 		icon
Django
Go
Rust 		Kaggle
Kaggle 		Vim
Vim


My Skills



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  1. CREsted CREsted Public

    Forked from aertslab/CREsted

    CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

    Python

  2. pySCENIC pySCENIC Public

    Forked from aertslab/pySCENIC

    pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…

    Python

  3. scenicplus scenicplus Public

    Forked from aertslab/scenicplus

    SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.

    Jupyter Notebook

  4. scanpy scanpy Public

    Forked from scverse/scanpy

    Single-cell analysis in Python. Scales to >1M cells.

    Python

  5. squidpy squidpy Public

    Forked from scverse/squidpy

    Spatial Single Cell Analysis in Python

    Python

  6. Pratices Pratices Public

    Jupyter Notebook