M.S. single-cell dataset
Evaluation results
Release 2026-09-16-d74d282221a9 · 2 evaluations · 2 metric rows. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| scGPT: Cell-type identification Native scLLM cell-type identification as reported in Table 2. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.734 F1-Score Unit: unitless · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedParameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification · Table 2, M.S. / scGPT row, F1-Score column Source checking is not independent reproduction. |
| Geneformer: Cell-type identification Native scLLM cell-type identification as reported in Table 2. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.388 F1-Score Unit: unitless · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedParameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification · Table 2, M.S. / Geneformer row, F1-Score column Source checking is not independent reproduction. |
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification · Original source · preprint archived 2024-01-30
Technical metadata and extraction receipts
Stable ID: reported-dataset-488d5de6bb9c1b
- areas
- cells-tissues
- version
- Not reported
- split
- Not reported
- missing metadata
- version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract; accession: not_reported_in_legacy_extract
Related records
- dataset: scGPT: Cell-type identification
- dataset: Geneformer: Cell-type identification
- dataset: Cell-type identification