KG4SL
importedtherapeutics/kg4sl
Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/JieZheng-ShanghaiTech/KG4SL
- Documentation
- unknown
- Tags
- ai4science · bioinformatics · cancer · data-science · drug-discovery · machine-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.
- ChemFlowai4science · drug-discovery
Uncover meaningful structures of latent spaces learned by generative models with flows!
- cMolGPTai4science · drug-discovery
GPT (Generative Pre-trained Transformer) for de novo molecular design by enforcing specified targets
- GEMGenai4science · drug-discovery
A generative model for phenotypic-based drug discovery
- molgenai4science · drug-discovery
Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.
- SL_benchmarkai4science · drug-discovery
Benchmarking study of machine learning methods for prediction of synthetic lethality
- VAERHNNcancer · drug-discovery
Voting-averaged ensemble regression and hybrid neural networks to investigate potent leads against colorectal cancer
- api.github.com/repos/JieZheng-ShanghaiTech/KG4SLretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-08-01, 34 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/22.json→ .entries["kg4sl"]
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