rewirebio.iobenchmarks
Method

ClinPred

Scores missense variants by combining two machine-learning algorithms over existing pathogenicity scores and gnomAD population allele frequencies, trained on confidently annotated ClinVar variants.

Results are recorded on linked configurations and versions of this method. Their settings and evaluations are kept separate below.

5 configurations with results

Results on linked records

This method has no results of its own in this release. 5 linked records have results. They are not assigned to the underlying method: each record keeps its own settings and evaluations, and its scores are on its own page.

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Use this method

How it works, versions and access
Strengths, limitations and unresolved questions

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.

1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
Description
Scores missense variants by combining two machine-learning algorithms over existing pathogenicity scores and gnomAD population allele frequencies, trained on confidently annotated ClinVar variants.
Individual claims
Abstract: ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide Variants

Original source ↗

qa-descriptions-20261011-e-source-clinpred: abstractText

Version: Europe PMC core record MED/30220433 (title and abstract), American Journal of Human Genetics 2018
Retrieved: 2026-10-11T01:38:37Z

source checked

["automated-source-review","ai-assisted-source-review"] · 2026-10-11

Audit details

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.

Field: description

Claim: metadata-correction-f131b3fe268482b6b942

Source artifact SHA-256: 63c0292fe97a07565c917ae562ca50bdb52f07a46d7052cfd66963026be63c63

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.

Inspected artifact

Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: somatic-oncogenicity-20261009-method-clinpred

areas
dna-genomes
contexts
clinical_research
method types
supervised_machine_learning
reported name
ClinPred
entity level
method
source locator
Algorithm lists of the cited sources
missing metadata
version: reason: inapplicable; note: Family record; score sources are on configurations
Related records

Suggest a correction