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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.

  • 🌱 I’m currently learning Golang and Rust.

  • ❓ Ask me about anything related to GNN and Causal Inference or related technologies

My favorite tools and technologies

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Python
VsCode
VsCode
Pycharm
Pycharm
Pycharm
Pycharm
LaTeX
LaTeX
Github
Github
Git
Git
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MySQL
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AWS
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Django
Kaggle
Kaggle
Vim
Vim


My Skills



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  1. pymonocle3 pymonocle3 Public

    Python implementation of monocle3

    Python

  2. 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

  3. 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

  4. 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

  5. scanpy scanpy Public

    Forked from scverse/scanpy

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

    Python

  6. squidpy squidpy Public

    Forked from scverse/squidpy

    Spatial Single Cell Analysis in Python

    Python