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Article

variancePartition: Interpreting drivers of variation in complex gene expression studies

2016-02-19

Abstract excerpt

As genomics studies become more complex and consider multiple sources of biological and technical variation, characterizing these drivers of variation becomes essential to understanding disease biology and regulatory genetics. We describe a statistical and visualization framework, variancePartition, to prioritize drivers of variation with a genome-wide summary, and identify genes that deviate from the genome-wide...

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Literature Corpus work
a3412574-657e-5eb2-9050-d63fe9bc9f65
DOI
10.1101/040170
Open publication

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variancePartition: Interpreting drivers of variation in complex gene expression studiesDOI 10.1101/040170
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