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1 evaluation · 2 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: scPred — Abdelaal et al. 2019 Table 1 | Protocol: Abdelaal et al. 2019 intra-dataset 5-fold CV: Baron Human pancreatic dataset Dataset: Baron Human pancreatic scRNA-seq dataset (Abdelaal et al. 2019, Table 2) | 0.981 median-f1 fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported A comparison of automatic cell identification methods for single-cell RNA sequencing data · Quoted verbatim, Results, "All classifiers perform well in intra-dataset experiments": "for the Baron Human dataset, the median F1-score for SVM rejection, scmapcell, scPred, and SVM is 0.991, 0.984, 0.981, and 0.980, respectively (Fig. 1a)." Fig. 1a, scPred row. |
| Configuration: scPred — Abdelaal et al. 2019 Table 1 | Protocol: Abdelaal et al. 2019 intra-dataset 5-fold CV: Baron Human pancreatic dataset Dataset: Baron Human pancreatic scRNA-seq dataset (Abdelaal et al. 2019, Table 2) | 10.8% pct-unlabeled percent · unknown Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported A comparison of automatic cell identification methods for single-cell RNA sequencing data · Quoted verbatim, same location: "SVM rejection, scmapcell, and scPred assigned 1.5%, 4.2%, and 10.8% of the cells, respectively, as unlabeled while SVM (without rejection) classified 100% of the cells with a median F1-score of 0.98 (Fig. 1b)." Fig. 1b, scPred row. |
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12 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.aggregation metric-specific; inspect result Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.dataset_version Abdelaal et al. 2019 Table 2, Baron (Human) Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.population Table 2 dataset size: 8,569 cells, 14 cell populations (13 after <10-cell filtering). This is the dataset-size figure, not independently confirmed as the exact scored denominator for this evaluation's result(s); see the linked protocol's limitations. Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.protocol_id ucc-research-protocol-abdelaal-baron-human-intra Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.split Intra-dataset stratified 5-fold cross-validation; identical folds across classifiers Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.fold_count 5 Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.origin author_reported Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| description Author-reported evaluation; no new execution. Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: configuration ucc-research-config-abdelaal-scpred Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: dataset ucc-research-data-abdelaal-baron-human Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data No field-specific location recorded Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
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Release 2026-10-06-161b59a1d02c · Record review: source checked
Stable ID: ucc-research-eval-abdelaal-baron-human-scpred