aristoteleo / awesome-bioagent-papersLinks
Agent self-driven repository on bio-agent papers, i.e. papers on LLM-based agents in biology and medicine.
☆80Updated last month
Alternatives and similar repositories for awesome-bioagent-papers
Users that are interested in awesome-bioagent-papers are comparing it to the libraries listed below
Sorting:
- ☆133Updated 8 months ago
- ☆99Updated 2 months ago
- ☆85Updated 3 months ago
- ☆76Updated last year
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆75Updated 9 months ago
- ☆35Updated 2 months ago
- GeneCompass☆101Updated this week
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆60Updated last year
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆99Updated last year
- ☆45Updated 2 years ago
- Comprehensive suite for evaluating perturbation prediction models☆112Updated 3 weeks ago
- Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".☆63Updated 11 months ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆131Updated 2 weeks ago
- Contextual AI models for single-cell protein biology☆95Updated 9 months ago
- ☆122Updated 3 weeks ago
- ☆28Updated 7 months ago
- A model developed for the generation of scRNA-seq data☆79Updated 9 months ago
- ☆30Updated last month
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 3 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆31Updated 4 months ago
- BulkRNABert and MOJO☆31Updated 4 months ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆231Updated 9 months ago
- 🏃 The go-to single-cell Foundation Model☆123Updated last week
- ☆55Updated last year
- BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments☆91Updated 5 months ago
- A collection of awesome bio-foundation models, including protein, RNA, DNA, gene, single-cell, and so on.☆275Updated 6 months ago
- ☆64Updated 4 months ago
- ☆297Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆131Updated 10 months ago