Wasserstein Generative Adversarial Network for analysing scRNAseq data.
This repo contains a Jupyter Notebook with a minimal version of the WGAN-GP algorithm.
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/