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Wasserstein Generative Adversarial Network for analysing scRNAseq data.
This repo contains a Jupyter Notebook with a minimal version of the WGAN-GP algorithm.
Related manuscript is onbioRxiv
Dependencies: Tensorflow, NumPy, Pandas, scikit-learn
Clone the repo, ensure you have git lfs installed and perform git lfs pull for the CSV files
python ./scripts/WGAN-GP_minimal.pyWatch discriminator/generator loss convergence:
tensorboard --logdir=./summaries/