GitHub repository: scottgigante-immunai/CPA
Primary language: Jupyter Notebook
Description: 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.