← Single-cell & foundation models
CytoTRACE 2
Interpretable deep learning model that predicts cellular potency and absolute developmental potential from scRNA-seq.
| Category | Single-cell & foundation models |
|---|---|
| GitHub | digitalcytometry/cytotrace2 |
| First public | 2024-03-05 (source) |
| Paper | https://doi.org/10.1038/s41592-025-02857-2 · Nature Methods (2025) |
| License | no license detected by GitHub |
| Pricing | Research release |
| Tags | #single-cell |
| Last checked | 2026-10-16 |
Specs
| Pretraining corpus | 34 human and mouse scRNA-seq datasets, 24 tissues |
|---|---|
| Architecture | Ensemble of gene-set binary networks (interpretable DL) |
| Tasks | Potency / developmental potential prediction |
| Species | Human, mouse |
| GitHub stars | 269 |
| Interface | — |
Specs come from each project's README, paper or official page · CytoTRACE 2 README · CytoTRACE 2 paper. “—” means we couldn't verify it.
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