ACTINN
Cell-type classifier for single-cell RNA-seq that trains a neural network with three hidden layers on datasets with predefined cell types and predicts cell types in other datasets.
Overview
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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
2 evaluations · 2 results. Different protocols are not a single leaderboard.
Sorted by Macro F1 (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
All 2 result rows with coverage, uncertainty and sources
Filter evaluations
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Pipeline: ACTINN | Protocol: scFoundation cell-type annotation comparison Segerstolpe: Segerstolpe cell-type annotation Dataset subset: Segerstolpe subset used in scFoundation Supplementary Table4 (scFoundation cell-type annotation comparison split) | 0.722 Macro F1 fraction · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible | Evaluation origin not reported · Source checkedMethods, coverage and sourceACTINN on scFoundation cell-type annotation comparison Segerstolpe: Segerstolpe cell-type annotation Cell-type annotation evaluated by unweighted mean of cell-type F1 scores. Each class F1=TP/(TP+0.5*(FP+FN)), defined in Supplementary Note3. Exact dataset release, split manifest, fitting and preprocessing remain unextracted. Aggregation: Not reported scFoundation primary supplement, Table4 · Supplementary Table4, PDF p16, row ACTINN, column Segerstolpe |
| Pipeline: ACTINN | Protocol: scFoundation cell-type annotation comparison Zheng68K: Zheng68K cell-type annotation Dataset subset: Zheng68K subset used in scFoundation Supplementary Table4 (scFoundation cell-type annotation comparison split) | 0.649 Macro F1 fraction · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible | Evaluation origin not reported · Source checkedMethods, coverage and sourceACTINN on scFoundation cell-type annotation comparison Zheng68K: Zheng68K cell-type annotation Cell-type annotation evaluated by unweighted mean of cell-type F1 scores. Each class F1=TP/(TP+0.5*(FP+FN)), defined in Supplementary Note3. Exact dataset release, split manifest, fitting and preprocessing remain unextracted. Aggregation: Not reported scFoundation primary supplement, Table4 · Supplementary Table4, PDF p16, row ACTINN, column Zheng68K |
Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.
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How it works, versions and access
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Evidence
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Evidence table
Inspect claims, sources and review details
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One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Description Cell-type classifier for single-cell RNA-seq that trains a neural network with three hidden layers on datasets with predefined cell types and predicts cell types in other datasets. Individual claims | scFoundation primary supplement, Table4 qa-descriptions-20261011-b-source-actinn: abstractText; coverage-source-scfoundation-supp: Supplementary Table 4 (cell type annotation on Zheng68K and Segerstolpe) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 10.1038/s41592-024-02305-7 publisher supplement | source checked ["automated-source-review","ai-assisted-source-review"] · 2026-10-11 Audit detailsApproved. Checked the new sources' licences against the arXiv abstract pages and Europe PMC, the 7 scFoundation pipeline descriptions against their abstracts, the language-model descriptions against their model cards and reports, and the TAPE architecture figures against the TAPE paper; all correct. The catalogue entries reuse reviewed profile summaries. Field: Claim: metadata-correction-732d490220bdb6dc79a7 Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Description Cell-type classifier for single-cell RNA-seq that trains a neural network with three hidden layers on datasets with predefined cell types and predicts cell types in other datasets. Individual claims | Abstract: ACTINN: automated identification of cell types in single cell RNA sequencing qa-descriptions-20261011-b-source-actinn: abstractText; coverage-source-scfoundation-supp: Supplementary Table 4 (cell type annotation on Zheng68K and Segerstolpe) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Europe PMC core record MED/31359028 (title and abstract), Bioinformatics 2020 | source checked ["automated-source-review","ai-assisted-source-review"] · 2026-10-11 Audit detailsApproved. Checked the new sources' licences against the arXiv abstract pages and Europe PMC, the 7 scFoundation pipeline descriptions against their abstracts, the language-model descriptions against their model cards and reports, and the TAPE architecture figures against the TAPE paper; all correct. The catalogue entries reuse reviewed profile summaries. Field: Claim: metadata-correction-732d490220bdb6dc79a7 Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence. |
Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
2 source records and release history
- scFoundation primary supplement, Table4 · Original source · 10.1038/s41592-024-02305-7 publisher supplement
- Abstract: ACTINN: automated identification of cell types in single cell RNA sequencing · Original source · Europe PMC core record MED/31359028 (title and abstract), Bioinformatics 2020
Technical metadata and extraction receipts
Stable ID: scfoundation-2024-supp-table4-method-actinn
- areas
- single-cell
- source locator
- Supplementary Table4, PDF p16, row ACTINN
- missing metadata
- checkpoint revision: reason: unreported; parameters: reason: unextracted