theislab / 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.
BSD 3-Clause "New" or "Revised" License
83 stars 17 forks source link

Pre-processing for bulk RNA-seq? #8

Open bitcometz opened 2 years ago

bitcometz commented 2 years ago

hello,

Thanks for this great software CPA.

I want to use it for my bulk RNA-seq after drug treatment.

Could you give some suggestions about Pre-processing for my data? Should I normalized the data first and then format it into h5ad format?

Thanks !!!