SL_benchmark
importedtherapeutics/sl-benchmark
Benchmarking study of machine learning methods for prediction of synthetic lethality
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
- Documentation
- unknown
- Tags
- ai4science · cancer-genomics · data-science · database · deep-learning · drug-discovery · drug-targets · genetic-interactions · graph-neural-networks · knowledge-graph · machine-learning · synthetic-lethality
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- NSF4SLdrug-discovery · synthetic-lethality
NSF4SL is a negative-sample-free model for prediction of synthetic lethality (SL) based on a self-supervised contrastive learning framework.
- Progenidrug-discovery · graph-neural-networks · knowledge-graph
"A Probabilistic Knowledge Graph for Target Identification"
- TxGNNdrug-discovery · graph-neural-networks · knowledge-graph
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
- pymol-map-pocketdrug-discovery · drug-targets
PyMOL extension to map a protein pocket, generated from PockDrug, to the full protein structure.
- pharmOncoXdrug-targets
Targeted and non-targeted anticancer drugs and drug regimens
- ChemFlowai4science · drug-discovery
Uncover meaningful structures of latent spaces learned by generative models with flows!
- api.github.com/repos/JieZheng-ShanghaiTech/SL_benchmarkretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-11-15, 22 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/44.json→ .entries["sl-benchmark"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.