Article
A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies.
PLoS computational biology - 6 May 2010
Stegle Oliver, Parts Leopold, Durbin Richard, Winn John
Abstract excerpt
Gene expression measurements are influenced by a wide range of factors, such as the state of the cell, experimental conditions and variants in the sequence of regulatory regions. To understand the effect of a variable of interest, such as the genotype of a locus, it is important to account for variation that is due to confounding causes. Here, we present VBQTL, a probabilistic approach for mapping expression...
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