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Wasserstein Generative Adversarial Network for analysing scRNAseq data

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scRNAseq-WGAN-GP

Wasserstein Generative Adversarial Network for analysing scRNAseq data.

This repo contains a Jupyter Notebook with a minimal version of the WGAN-GP algorithm.

Usage

Dependencies: Tensorflow, NumPy, Pandas, scikit-learn

Clone the repo and run /notebooks/WGAN-GP_minimal.ipynb using your own data or the decompressed supplied data in /data/

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Wasserstein Generative Adversarial Network for analysing scRNAseq data

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  • Jupyter Notebook 100.0%