GEMGen
importedtherapeutics/gemgen
A generative model for phenotypic-based drug discovery
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
- DLS5-Omics
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/DLS5-Omics/GEMGen
- Documentation
- unknown
- Tags
- ai4science · drug-discovery · drug-repurposing · large-language-model · machine-learning · phenotypic-drug-discovery · rna-seq · single-cell
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- DrugGendrug-repurposing · large-language-model
DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
- AD-scRNA2QSARdrug-discovery · rna-seq · single-cell
A comprehensive computational pipeline that bridges single-cell genomics and cheminformatics to accelerate Alzheimer's Disease research. This project integrates advanced bioinformatics and machine…
- SciAgent-Skillsdrug-discovery · rna-seq · single-cell
197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.
- 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
- KG4SLai4science · drug-discovery
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.
- api.github.com/repos/DLS5-Omics/GEMGenretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-02-23, 11 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/6.json→ .entries["gemgen"]
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