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.
I'm not sure these are the best way to update CPA to work with scvi-tools 0.20 so please let me know if you'd prefer the changes made in another way. Thanks!
I'm not sure these are the best way to update CPA to work with scvi-tools 0.20 so please let me know if you'd prefer the changes made in another way. Thanks!