Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
Fig 1
We model the motif influence on gene expression signal in different conditions with a linear combination of the motif scores in each promoter region of the gene. We introduce the Bayesian Linear Mixed Model that allows for correlation between samples in contrast to the Ridge Regression, which is commonly used to model motif activity.