chemCPA
importedtherapeutics/chemcpa
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- theislab
- Country
- unknown
- Homepage
- arxiv.org/abs/2204.13545
- Repository
- github.com/theislab/chemCPA
- Documentation
- unknown
- Tags
- disentanglement · drug-discovery · genomics · perturbation · single-cell · transfer-learning
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Benchmarking-Single-Cell-Perturbationdisentanglement · drug-discovery
Single-Cell (Perturbation) Model Library
- DRVIdisentanglement · single-cell
Unsupervised Deep Disentangled Representation of Single-Cell Omics
- scapeperturbation · single-cell
Single-cell Analysis of Perturbational Effects using Machine Learning
- scPerturbperturbation · single-cell
scPerturb: A resource and a python/R tool for single-cell perturbation data
- smiles-gptdrug-discovery · transfer-learning
Generative Pre-Training from Molecules
- SciAgent-Skillsdrug-discovery · genomics · single-cell
197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.
- api.github.com/repos/theislab/chemCPAretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-02-06, 156 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/58.json→ .entries["chemcpa"]
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