MisFit
Graphical model that estimates the fitness effect of a missense variant, jointly modelling its molecular-level effect and its selection coefficient in humans, rather than predicting pathogenicity.
Results are recorded on linked configurations and versions of this method. Their settings and evaluations are kept separate below.
Results on linked records
This method has no results of its own in this release. 2 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.
- MisFit_D rank score, dbNSFP 5.3.1a (Lee 2026) Configuration · configuration of this method · 3 evaluations · 6 results
- MisFit_S rank score, dbNSFP 5.3.1a (Lee 2026) Configuration · configuration of this method · 3 evaluations · 6 results
Overview
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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
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How it works, versions and access
Additional methodological details, versions and access terms have not yet been extracted into a structured profile for this method. Consult the linked sources and evaluation records below.
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.
1 evidence row matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Description Graphical model that estimates the fitness effect of a missense variant, jointly modelling its molecular-level effect and its selection coefficient in humans, rather than predicting pathogenicity. Individual claims | A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants (MisFit) qa-descriptions-20261011-e-source-misfit: Abstract Version: Europe PMC full-text XML for PMC12092651, Nature Communications 2025 | source checked ["automated-source-review","ai-assisted-source-review"] · 2026-10-11 Audit detailsApproved 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: Claim: metadata-correction-5319bf4a83ddd019688c Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of the Europe PMC full-text XML. These renderings are not always byte-stable; the article text is the evidence. |
Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
2 source records and release history
- An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers · Original source · bioRxiv 2026.07.16.739080 v1, posted 2026-07-23; full-text HTML page
- A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants (MisFit) · Original source · Europe PMC full-text XML for PMC12092651, Nature Communications 2025
Technical metadata and extraction receipts
Stable ID: somatic-oncogenicity-20261009-method-misfit
- areas
- dna-genomes
- contexts
- clinical_research
- method types
- specialist
- reported name
- MisFit
- 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
- subject: MisFit: description
- configuration of: MisFit_D rank score, dbNSFP 5.3.1a (Lee 2026)
- configuration of: MisFit_S rank score, dbNSFP 5.3.1a (Lee 2026)