GitHub repository: ArianAmani/sCPA
Primary language: Python
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. Added causal representation via sparsity.