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Deep learning for cancer scRNA data
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Deep learning for cancer scRNA data
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Michael000777/README.md

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  1. Metal-Path Metal-Path Public

    A project focused on assessing the impact prenatal heavy metal exposure on children’s health in a prospective cohort based in Mexico City. Evaluating transcriptomic and Epigenetic alternations asse…

    1

  2. GCN_scRNA GCN_scRNA Public

    This project employed a cutting-edge methodology of using deep learning tools (Graph convolutional networks) to predict the metastatic potential of cell based on spatial coordinates and gene expres…

    Jupyter Notebook

  3. SingleCell_VAE SingleCell_VAE Public

    A project focused on applying VAE's to single cell data, while capturing the existing temporal relationships together with the latent distribution of the data

    Python

  4. Drug-net Drug-net Public

    A project focused on the development go gene-association networks for combination of bacteriophage-antibiotic drug treatments and E. coli genes using datasets for antibiotic-gene and bacteriophage-…

    Jupyter Notebook

  5. scRNA-Process scRNA-Process Public

    This Repo consists of R and Python scripts used to analyze single cell RNA data from publicly available data stores (10x Genomics)

    R

  6. 23me_PharmGKB 23me_PharmGKB Public

    Pharmacogenomic Data Exploration For Personalized Drug Recommendations: Detection of variants with drug effects as provided by PharmGKB.

    Jupyter Notebook 1