← Single-cell & foundation models
scDblFinder
Doublet detection for single-cell data using gradient-boosted trees trained on artificial doublets.
| Category | Single-cell & foundation models |
|---|---|
| GitHub | plger/scDblFinder |
| First public | 2019-05-05 (source) |
| Paper | https://doi.org/10.12688/f1000research.73600.2 · F1000Research |
| License | GPL-3.0 |
| Pricing | Open source |
| Tags | #single-cell#doublets |
| Last checked | 2026-10-16 |
Specs
| Pretraining corpus | Per-dataset (simulated doublets) |
|---|---|
| Architecture | Gradient boosting (xgboost) |
| Tasks | Doublet detection |
| Species | Any |
| GitHub stars | 274 |
| Interface | — |
Specs come from each project's README, paper or official page · scDblFinder README · scDblFinder paper. “—” means we couldn't verify it.
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