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.
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A minimalist multi-agent framework for rubost automation of scientific analysis workflows, such as gene expression analysis.
- wisp-scienceai4science · bioinformatics
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
- SynFragai4science
Synthetic Accessibility via Fragment Assembly Generation
- CCSinglecellbioinformatics · cancer
A project focused on using single-cell RNA sequencing data (scRNA-seq) and pseudo time to improve colon cancer diagnosis and outcomes.
- 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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