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Article

variancePartition: interpreting drivers of variation in complex gene expression studies.

BMC bioinformatics - 25 Nov 2016

Hoffman Gabriel E, Schadt Eric E

Abstract excerpt

BACKGROUND: As large-scale studies of gene expression with multiple sources of biological and technical variation become widely adopted, characterizing these drivers of variation becomes essential to understanding disease biology and regulatory genetics. RESULTS: We describe a statistical and visualization framework, variancePartition, to prioritize drivers of variation based on a genome-wide summary, and...

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Identifiers

PMID: 27884101
DOI: 10.1186/s12859-016-1323-z
PMCID: PMC5123296

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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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