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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Identifiers and source
- Literature Corpus work
- a3412574-657e-5eb2-9050-d63fe9bc9f65
- DOI
- 10.1101/040170
