8,758 cells, 42,461 genes, 3/37 (3/34) major/deep-level cell populations (unfiltered, per Table 2's own column header, "No. of cell populations (>10 cells)"), SMART-Seq v4; single-cell RNA-seq, mouse brain (anterior lateral motor area) — distinct from the human MTG single-nucleus RNA-seq sample despite the shared SMART-Seq v4 protocol (Results, "Classification performance across brain datasets": "single-cell RNA-seq (used in VISp and ALM) vs single-nucleus RNA-seq (used in MTG)"). This is the Table 2 dataset-size figure (raw per-dataset total), recorded as context only — it is NOT independently confirmed as the exact scored denominator for any individual Figure S10 train-test experiment or classifier result. Table 2's own population-count column already shows a >10-cell filtering step whose effect on cell-level scored counts is not stated in the retrieved main text or supplement.
These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.
Release 2026-10-07-e11db1d1c586 · Evidence verified: Not verified
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3 evaluations · 3 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
Source checking is not independent reproduction. Release 2026-10-07-e11db1d1c586.
A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
9 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.assay_protocol SMART-Seq v4 (single-cell RNA-seq) Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.population.cell_populations 3/37 (3/34) Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.population.cells 8758 Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.population.genes 42461 Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.population.population_scope Table 2 dataset-size figure (raw per-dataset total), recorded as context only; NOT independently confirmed as the exact scored denominator for any individual Figure S10 train-test experiment or classifier result. Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.source_locator Table 2, row "ALM" Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.species Mouse Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| description 8,758 cells, 42,461 genes, 3/37 (3/34) major/deep-level cell populations (unfiltered, per Table 2's own column header, "No. of cell populations (>10 cells)"), SMART-Seq v4; single-cell RNA-seq, mouse brain (anterior lateral motor area) — distinct from the human MTG single-nucleus RNA-seq sample despite the shared SMART-Seq v4 protocol (Results, "Classification performance across brain datasets": "single-cell RNA-seq (used in VISp and ALM) vs single-nucleus RNA-seq (used in MTG)"). This is the Table 2 dataset-size figure (raw per-dataset total), recorded as context only — it is NOT independently confirmed as the exact scored denominator for any individual Figure S10 train-test experiment or classifier result. Table 2's own population-count column already shows a >10-cell filtering step whose effect on cell-level scored counts is not stated in the retrieved main text or supplement. Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| name ALM brain single-cell RNA-seq (scRNA-seq) dataset (Abdelaal et al. 2019, Table 2) Context-only references | A comparison of automatic cell identification methods for single-cell RNA sequencing data Table 2, row "ALM" Version: 10.1186/s13059-019-1795-z; published article XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
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Release 2026-10-07-e11db1d1c586 · Record review: source checked
Stable ID: ucc-research-data-abdelaal-alm