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 (3 years ago)

Commits 344 (last one 4 months ago)

Stargazers 90 (0 this week)

Watchers 5 (0 this week)

Forks 17

License bsd-3-clause

Ranking

RepositoryStats indexes 597,824 repositories, of these theislab/cpa is ranked #316,650 (47th percentile) for total stargazers, and #336,211 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #59,313/119,969.

Other Information

theislab/cpa has 1 open pull request on Github, 12 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 20 open issues and 26 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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Recent Commit History

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

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Languages

The only known language in this repository is Python

updated: 2024-12-14 @ 08:29am, id: 417413128 / R_kgDOGOE4CA