MutPred: description
Description of MutPred
Scores missense variants with a random forest over protein structural and functional properties, conservation and SIFT scores.
Replace a category-only description with a sourced functional description (issue #88). Historical releases retain the original value.
Evidence
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
Evidence table
Inspect claims, sources and review details
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.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field description Context-only references | Comprehensive assessment of computational algorithms in predicting cancer driver mutations somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text 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 |
| Previous value Variant effect predictor for missense variants. Context-only references | Comprehensive assessment of computational algorithms in predicting cancer driver mutations somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text 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 |
| Source location somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study Context-only references | Comprehensive assessment of computational algorithms in predicting cancer driver mutations somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text 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 |
| Claimed value Scores missense variants with a random forest over protein structural and functional properties, conservation and SIFT scores. Context-only references | Comprehensive assessment of computational algorithms in predicting cancer driver mutations somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text 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 Replace a category-only description with a sourced functional description (issue #88). Historical releases retain the original value. Context-only references | Comprehensive assessment of computational algorithms in predicting cancer driver mutations somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text 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 |
| Relationship: subject somatic-oncogenicity-20261009-method-mutpred Context-only references | Comprehensive assessment of computational algorithms in predicting cancer driver mutations somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text 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 MutPred: description Context-only references | Comprehensive assessment of computational algorithms in predicting cancer driver mutations somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text 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 |
Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Comprehensive assessment of computational algorithms in predicting cancer driver mutations · Original source · Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text XML
Technical metadata and extraction receipts
Stable ID: metadata-correction-ddc6448bbae81099aa25
- areas
- dna-genomes
- contexts
- clinical_research
- method types
- supervised_machine_learning
- field
- description
- previous value
- Variant effect predictor for missense variants.
- value
- Scores missense variants with a random forest over protein structural and functional properties, conservation and SIFT scores.
- source locator
- somatic-oncogenicity-20261009-source-chen2020: Table 1, Summary of 33 computational algorithms included in this study
- review
- method: automated-source-review; ai-assisted-source-review; reviewer: claude; reviewer note: Extractor: Claude integrator agent for issue #88. Reviewer: a separate Claude review agent, independent of the extractor; no human review claimed.; date: 2026-10-11; method note: Compared the store diff with origin/main, read each new description against its cited source passage and checked the licence of each new source record.; note: Approved with two corrections, both applied: the MutFormer source licence is CC BY 4.0 per the arXiv abstract page, and the MetaRNN source locator now names the Background passage. Checked the 27 Chen 2020 descriptions row by row against Table 1 (PMC7033911) and spot-checked AlphaMissense, MisFit, popEVE, VARITY, MetaRNN, MutFormer and gMVP against their abstracts; accurate. Licences on the other new sources match Europe PMC.; receipt: data/omics/qa-descriptions-20261011-e/review.json
Related records
- subject: MutPred