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.
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Normab.ipynb example notebook is not working with an updated version of cpa #24
I'm trying to re-run the example notebook Norman.ipynb, and it throws an error because the format of cpa.CPA.setup_anndata() has been changed. Could you, please, update the Normab.ipynb as well, so that it'd work with the new version of the package?
M0hammadL
commented
10 months ago
I'm trying to re-run the example notebook
Norman.ipynb, and it throws an error because the format ofcpa.CPA.setup_anndata()has been changed. Could you, please, update theNormab.ipynbas well, so that it'd work with the new version of the package?