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ToryDeng/README.md

Hi, I'm Tao Deng

Ph.D. student in Data Science at The Chinese University of Hong Kong, Shenzhen.

My research focuses on single-cell RNA-seq, spatial transcriptomics, and multimodal transcriptomics, with an interest in developing machine learning methods for biological data analysis.

Selected Work

  • LEGEND: Identifying co-expressed genes in multimodal transcriptomic sequencing data
  • scCTS: Identifying cell type-specific marker genes from population-level single-cell RNA-seq
  • scGeneClust: Feature gene selection for unannotated single-cell RNA-seq analysis

GitHub Stats

Technologies and Tools

Python R LaTeX PyTorch scikit-learn Scanpy Squidpy Ubuntu Bash GitHub

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  1. LEGEND LEGEND Public

    LEGEND: An integrative algorithm for identifying co-expressed and cofunctional genes in multimodal transcriptomic sequencing data

    Python 1 1

  2. scGeneClust scGeneClust Public

    GeneClust: cofunctional grouping-based feature gene selection for unsupervised scRNA-seq clustering

    Jupyter Notebook 4 1

  3. scCTS scCTS Public

    scCTS: identifying the cell type-specific marker genes from population-level single-cell RNA-seq

    R 4

  4. ZUEL-Thesis ZUEL-Thesis Public

    The LaTeX template for the bachelor thesis of ZUEL

    TeX 32 4