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Comparez modèles biologiques, moteurs de docking et flux de calcul côte à côte. Filtrez par modèle d'accès, empreinte de calcul et catégorie pour parvenir à une table de décision exploitable en moins d'une minute.
| Attribut | + Ajouter un outil | |||
|---|---|---|---|---|
| Category | Single-cell, Spatial & Cytometry | Single-cell, Spatial & Cytometry | Single-cell, Spatial & Cytometry | — |
| Subcategory | Cytometry | Conventional or Statistical Baselines | Conventional or Statistical Baselines | — |
| Company | Pe’er Lab / PhenoGraph contributors | Research / method authors | Research / method authors | — |
| Access mode | Public code | Confirm distribution and exact release | Confirm distribution and exact release | — |
| Licence conditions | Check the selected release, model and dependencies | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Compute requirements | Dataset and implementation dependent; no configuration benchmarked | Version and data dependent | Version and data dependent | — |
| Biological application | Non enregistré | Non enregistré | Non enregistré | — |
| Research workflow | Non enregistré | Non enregistré | Non enregistré | — |
| Evidence level | Project documentation; not a local benchmark | OFFICIAL_DOCUMENTATION | PEER_REVIEWED_METHOD_OR_CONFERENCE | — |
| Commercial eligibility | Not independently confirmed | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Price | See project licence and access terms | Verify access and licence | Verify access and licence | — |
| Availability ⓘ | Public research software | Method paper or official documentation | Method paper or official documentation | — |
| Features | Subpopulation detection in single-cell data, Documented research workflow | Azimuth (Seurat reference mapping) scientific method, Compatible single-cell expression matrix and named atlas reference, Anchor-based reference map and predicted cell labels | Baysor scientific method, Subcellular in-situ transcript positions and optional cell stain masks, Spatial transcript-informed cell boundaries | — |
| Entry type | Research software / model | Classical/statistical scientific method | Classical/statistical scientific method | — |
| AI role | Unsupervised machine learning | NON_AI_REFERENCE | NON_AI_STATISTICAL | — |
| Input data | High-dimensional single-cell measurements | Compatible single-cell expression matrix and named atlas reference | Subcellular in-situ transcript positions and optional cell stain masks | — |
| Output data | Graph-based population clusters | Anchor-based reference map and predicted cell labels | Spatial transcript-informed cell boundaries | — |
| Validation | Non enregistré | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | Non enregistré | Non enregistré | Non enregistré | — |
| Intended use | Non enregistré | Non enregistré | Non enregistré | — |
| Compatibility | Non enregistré | Non enregistré | Non enregistré | — |
| Limitations | Clusters require biological annotation and sensitivity checks. | Non enregistré | Non enregistré | — |