← Single-cell & foundation models
SingleCellNet
Random-forest classifier on gene pairs that assigns cell types to scRNA-seq data across species and platforms.
| Category | Single-cell & foundation models |
|---|---|
| GitHub | CahanLab/singleCellNet |
| First public | 2017-05-16 (source) |
| Paper | https://doi.org/10.1016/j.cels.2019.06.004 · Cell Systems (2019) |
| License | MIT |
| Pricing | Open source |
| Tags | #single-cell |
| Last checked | 2026-10-16 |
Specs
| Pretraining corpus | Reference atlases (e.g. Tabula Muris) |
|---|---|
| Architecture | Random forest on top-scoring gene pairs |
| Tasks | Cell-type classification |
| Species | Human, mouse, cross-species |
| GitHub stars | 142 |
| Interface | — |
Specs come from each project's README, paper or official page · SingleCellNet README · SingleCellNet paper. “—” means we couldn't verify it.
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