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Article

eVIP2: Expression-based variant impact phenotyping to predict the function of gene variants.

PLoS computational biology - 1 Jul 2021

Thornton Alexis M, Fang Lishan, Lo April, McSharry Maria, Haan David, O'Brien Casey, Berger Alice H, Giannakis Marios, Brooks Angela N

Abstract excerpt

While advancements in genome sequencing have identified millions of somatic mutations in cancer, their functional impact is poorly understood. We previously developed the expression-based variant impact phenotyping (eVIP) method to use gene expression data to characterize the function of gene variants. The eVIP method uses a decision tree-based algorithm to predict the functional impact of somatic variants by...

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Identifiers

PMID: 34214079
DOI: 10.1371/journal.pcbi.1009132
PMCID: PMC8281988

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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