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.

Date Created 2021-10-15 (2 years ago)

Commits 339 (last one 3 months ago)

Stargazers 76 (0 this week)

Watchers 5 (0 this week)

Forks 17

License bsd-3-clause

Ranking

RepositoryStats indexes 534,880 repositories, of these theislab/cpa is ranked #327,119 (39th percentile) for total stargazers, and #317,334 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #59,792/103,597.

Other Information

theislab/cpa has Github issues enabled, there are 16 open issues and 24 closed issues.

There have been 1 release, the latest one was published on 2023-06-09 (about a year ago) with the name More efficient, and scalable implementation of CPA.

All Topics

scrna-seq human-cell-atlas single-cell-rna-seq single-cell-genomics

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338 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-06-26 @ 11:47pm, id: 417413128 / R_kgDOGOE4CA