← Single-cell & foundation models
CellBender
Deep generative model that removes ambient RNA and other technical background from droplet scRNA-seq count matrices.
| Category | Single-cell & foundation models |
|---|---|
| GitHub | broadinstitute/CellBender |
| First public | 2019-02-21 (source) |
| Paper | https://doi.org/10.1038/s41592-023-01943-7 · Nature Methods (2023) |
| License | BSD-3-Clause |
| Pricing | Open source |
| Tags | #single-cell |
| Last checked | 2026-10-16 |
Specs
| Pretraining corpus | Per-dataset training |
|---|---|
| Architecture | Deep generative model (VAE, Pyro) |
| Tasks | Ambient RNA removal, cell calling |
| Species | Any |
| GitHub stars | 426 |
| Interface | — |
Specs come from each project's README, paper or official page · CellBender README · CellBender paper. “—” means we couldn't verify it.
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