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scGAIN: Single Cell RNA-seq Data Imputation using Generative Adversarial Networks

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scGAIN

scGAIN: Single Cell RNA-seq Data Imputation using Generative Adversarial Networks

Code repository for paper: https://www.biorxiv.org/content/10.1101/837302v1

Contents:

gainMain_PBMC.py: Code to train and evaluate scGAIN model on PBMC dataset
gainMain_simSplatter.py: Code to train and evaluate scGAIN model on simulated dataset (see next file)
run_tools.R: Utilities including data simulation using Splatter (https://www.bioconductor.org/packages/splatter)
run_TSNE.R: Script to generate figures using t-SNE

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