Benchmarking-Single-Cell-Perturbation
importedtherapeutics/benchmarking-single-cell-perturbation
Single-Cell (Perturbation) Model Library
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- autoencoders · counterfactual-inference · disentanglement · drug · drug-discovery · drug-repurposing · llm · perturbations
- 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.
- PDGrapherdrug-discovery · perturbations
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
- chemCPAdisentanglement · drug-discovery
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- Deep-Drug-Coderautoencoders · drug-discovery
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
- chemicalxdrug · drug-discovery
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- mt-dtidrug · drug-discovery
An official Molecule Transformer Drug Target Interaction (MT-DTI) model
- n_gram_graphdrug · drug-discovery
N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
- api.github.com/repos/xianglin226/Benchmarking-Single-Cell-Perturbationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-27, 124 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/28.json→ .entries["benchmarking-single-cell-perturbation"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.