scGPT frozen embeddings + logistic regression — scTab Table 1
Paper calls this zero-shot; supervised logistic regression on frozen embeddings, 1.5 million training cells
Overview
Paper calls this zero-shot; supervised logistic regression on frozen embeddings, 1.5 million training cells
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: scGPT frozen embeddings + logistic regression — scTab Table 1 | Protocol: scTab Table 1a: seeded model fits Dataset: scTab processed CELLxGENE 2023-05-15 donor holdouts | 0.7301 ± 0.0035 macro-f1 fraction · higher Uncertainty: type: standard_deviation; value: 0.0035; n: 5 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported scTab supplementary comparison tables · Supplementary Table 1a, scGPT frozen embeddings + logistic regression row, macro F1 and number-of-runs columns |
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Release 2026-09-30-e37e3ab1284d · Record review: source checked
2 source records and release history
- scTab: Scaling cross-tissue single-cell annotation models · Original source · 10.1038/s41467-024-51059-5; published article XML retrieved 2026-09-30
- scTab supplementary comparison tables · Original source · Supplementary Information to 10.1038/s41467-024-51059-5
Technical metadata and extraction receipts
Stable ID: ucc-research-config-sctab-scgpt-zero
- review
- method: automated_source_review; actor: Codex research coverage worker; reviewed at: 2026-09-30T21:43:56Z; note: Primary-source table transcription and scope review; no independent reproduction or human scientific review.
- training setting
- Paper calls this zero-shot; supervised logistic regression on frozen embeddings, 1.5 million training cells
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- checkpoint sha256: not extracted
Related records
- variant of: scGPT
- configuration: sctab seed scgpt zero