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Compare biological models, docking engines, and computational workflows side-by-side. Filter by access model, compute footprint, and category to reach an actionable decision table in under a minute.
| Attribute | ＋ Add tool | |
|---|---|---|
| Category | Single-cell, Spatial & Cytometry | — |
| Subcategory | Cell Annotation | — |
| Company | Teichmann Lab / CellTypist contributors | — |
| Access mode | Public code | — |
| Licence conditions | Check the selected release, model and dependencies | — |
| Compute requirements | Dataset and implementation dependent; no configuration benchmarked | — |
| Biological application | Not recorded | — |
| Research workflow | Not recorded | — |
| Evidence level | Project documentation; not a local benchmark | — |
| Commercial eligibility | Not independently confirmed | — |
| Price | See project licence and access terms | — |
| Availability ⓘ | Public research software | — |
| Features | Semi-automatic cell type classification, Documented research workflow | — |
| Entry type | Research software / model | — |
| AI role | Machine-learning classifier | — |
| Input data | Single-cell gene expression and a selected reference model | — |
| Output data | Predicted cell-type labels | — |
| Validation | Not recorded | — |
| Type | Not recorded | — |
| Intended use | Not recorded | — |
| Compatibility | Not recorded | — |
| Limitations | Reference labels and tissue coverage constrain predictions; inspect marker consistency. | — |