AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes
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Evidence
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Evidence table
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28 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.artifact_retrieved_at 2026-09-16T10:41:06Z Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.artifact_sha256 2715709d94f84744afa32cafdcaa72efd206d63af8c60afe7619b2cb90108b6b Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.artifact_url https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12400816/fullTextXML Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.doi 10.1093/bib/bbaf426 Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.doi 10.1093/bib/bbaf426 Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.id insilico-perturbation-auprc-2025 Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.notes Primary full text verified via Europe PMC fullTextXML; venue: Briefings in Bioinformatics; PMC ID: PMC12400816. Paper benchmarks metrics and scGen perturbation method; no foundation-model result in this row. Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.primary_domain cells-tissues Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.publication_status peer_reviewed Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.retrieved_utc 2026-09-15T23:37:05Z Source metadata | AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes No field-specific location recorded Version: PMC archival version PMC12400816.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
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Release 2026-09-29-06401fd5b220 · Record review: discovered
Technical metadata and extraction receipts
Stable ID: insilico-perturbation-auprc-2025
- areas
- cells-tissues
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12400816/
- version
- PMC archival version PMC12400816.1
- retrieved at
- 2026-09-15T23:37:05Z
- doi
- 10.1093/bib/bbaf426
- publication status
- peer_reviewed
- year
- 2025
- artifact sha256
- 2715709d94f84744afa32cafdcaa72efd206d63af8c60afe7619b2cb90108b6b
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12400816/fullTextXML
- artifact retrieved at
- 2026-09-16T10:41:06Z
- legacy paper
- id: insilico-perturbation-auprc-2025; title: AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes; year: 2025; publication status: peer_reviewed; version: PMC archival version PMC12400816.1; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12400816/; primary domain: cells-tissues; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: Briefings in Bioinformatics; PMC ID: PMC12400816. Paper benchmarks metrics and scGen perturbation method; no foundation-model result in this row.; doi: 10.1093/bib/bbaf426
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract