Cell Annotation
Cross-source consensus on Cell Annotation from 1 sources and 6 claims.
1 sources · 6 claims
Uses
Benefits
Comparisons
Evidence quality
Highlighted claims
- scpFormer achieved a macro F1 of 0.978 on the Levine benchmark, compared with 0.868 for Seurat and 0.920 for CellTypist. — scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
- In the Hao PBMC cross-batch setup, scpFormer achieved accuracy 0.918 and macro F1 0.789, outperforming Seurat and CellTypist metrics reported in the article. — scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
- For cell type annotation, scpFormer is fine-tuned on labeled reference data and evaluated on held-out query data. — scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
- In the Levine human bone marrow benchmark, scpFormer outperformed Seurat and CellTypist across accuracy, precision, recall, and macro F1. — scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
- scpFormer was especially strong for rare or phenotypically similar hematopoietic populations. — scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
- The cross-batch annotation gain is interpreted as evidence that scpFormer captures batch-invariant co-expression structure instead of batch-specific artifacts. — scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics