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
- smiles-gptdrug-discovery · transfer-learning
Generative Pre-Training from Molecules
- DRVIdisentanglement · single-cell
Unsupervised Deep Disentangled Representation of Single-Cell Omics
- The NMT Scalp EEG Dataset: An Open-Source Annotated Dataset of Healthy and Pathological E…transfer-learning
Dataset Overview The NMT Scalp EEG Dataset is an open source collection of 2,417 anonymised scalp electroencephalogram recordings obtained from unique participants. The collection contains…
- TSMNettransfer-learning
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
- enrich_omicsdrug-discovery · genomics
A python package to explore pathways, diseases and drugs associated to a list of targets (genes, proteins, etc)
- 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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