scGPT learns representations of genes and cells from single-cell measurements. Its pretrained checkpoints support task-specific adaptation.
Explanatory profile: source reviewed · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Whole-human training | Repository reports 33 million normal human cellsbowang-lab/scGPT official source · README.md: Pretrained scGPT checkpoints and Tutorials; scgpt/model/model.py at cebd6fae655b9c585a4807daa3ac31bb764f06b4, lines 79–188 |
| Model type | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
Schematic of the documented input, computation and output; not an executable configuration.
Gene identifiers and expression values are encoded together and processed by a transformer. The resulting representations support cell embeddings or task heads. Vocabulary, preprocessing and the selected checkpoint must accompany any result.
bowang-lab/scGPT official source · README.md: Pretrained scGPT checkpoints and Tutorials; scgpt/model/model.py at cebd6fae655b9c585a4807daa3ac31bb764f06b4, lines 79–188Release 2026-09-16-d74d282221a9 · 0 evaluations · 0 metric rows. Different protocols are not a single leaderboard.
No evaluations linked in this release.
Primary project documentation or paper inspected for the explanatory claims and cited locations. Reviewed coverage concerns this narrative, not complete metadata, independent reproduction or a performance ranking.
Stable record: discovery-model-scgptApplicability is distinct from a completed evaluation.
Release 2026-09-16-d74d282221a9 · Record review: discovered
Stable ID: discovery-model-scgpt