Open AccessA Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies
Author(s) -
Oliver Stegle,
Leopold Parts,
Richard Durbin,
John Winn
Publication year - 2010
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1000770
Subject(s) - expression quantitative trait loci , biology , quantitative trait locus , inference , computational biology , genetics , confounding , genetic association , population , genome wide association study , bayesian probability , locus (genetics) , bayes' theorem , gene , genotype , computer science , artificial intelligence , single nucleotide polymorphism , statistics , mathematics , demography , sociology
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