# facebookresearch/CPA

<https://repo.masters-masters.com/en/repos/facebookresearch/CPA>

[Home](https://repo.masters-masters.com/en) › [facebookresearch](https://repo.masters-masters.com/en/owners/facebookresearch) › [CPA](https://repo.masters-masters.com/en/repos/facebookresearch/CPA)

facebookresearch/CPA has 186 stars on GitHub. Its RepoMasters card: Prototype tier. The Compositional Perturbation Autoencoder (CPA) is a deep generative…

| Field | Value |
| --- | --- |
| Owner | [facebookresearch](https://repo.masters-masters.com/en/owners/facebookresearch) |
| Stars | 186 |
| Forks | 46 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [facebookresearch/CPA](https://github.com/facebookresearch/CPA) |

## Repository

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 estimat…

Archived: this repository is read-only

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.