← Single-cell & foundation models
Cell2Sentence (C2S-Scale)
Turns expression profiles into ranked gene "cell sentences" so LLMs (up to 27B) can model and generate single-cell data.
| Category | Single-cell & foundation models |
|---|---|
| GitHub | vandijklab/cell2sentence |
| First public | 2023-09-14 (source) |
| Paper | https://doi.org/10.1101/2023.09.11.557287 · bioRxiv preprint |
| License | Apache-2.0 |
| Pricing | Open source |
| Tags | #single-cell |
| Last checked | 2026-10-16 |
Specs
| Pretraining corpus | 57M+ human and mouse cells (CELLxGENE, HCA) plus text |
|---|---|
| Architecture | LLMs (Pythia, Gemma) on cell sentences |
| Tasks | Cell generation, annotation, perturbation, QA |
| Species | Human, mouse |
| GitHub stars | 889 |
| Interface | — |
Specs come from each project's README, paper or official page · Cell2Sentence (C2S-Scale) README · Cell2Sentence (C2S-Scale) paper. “—” means we couldn't verify it.
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