rewirebio.iobenchmarks
Benchmark

Zero-shot cell embedding evaluation of single-cell foundation models (Kedzierska et al. 2025)

Zero-shot cell embeddings from scGPT (four variants) and Geneformer compared with 2,000 highly variable genes, Harmony and scVI on five human scRNA-seq datasets, scored for cell-type separation and batch mixing with scIB metrics, plus a check of each model's pretraining reconstruction objective.

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3 protocols with results

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Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)

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Evidence

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Evidence table

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Sources and history

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Technical metadata and extraction receipts

Stable ID: gfm-guides-20261014-kedzierska2025-benchmark-zero-shot-scfm

areas
single-cell
contexts
research
entity level
suite
version
Genome Biology 26:101 (2025)
task
Zero-shot cell embedding for cell-type clustering and batch integration
scope note
Five datasets (Pancreas, PBMC 12k, PBMC 95k, Immune, Tabula Sapiens) plus a Pancreas (8k) row; foundation models used without training, baselines fitted on each dataset.
source locator
Pages 3-5 'Results and discussion'; pages 7-10 'Methods'; Additional file 1
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