Ken Wang 's starred repositories
CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
cookietemple
A collection of best practice cookiecutter templates for all domains and languages with extensive Github support ⛺
awesome-AI4SingleCell
Must-read papers on deep learning based methodology paper for single cell data analysis