Here we apply variancePartition to four well-characterized gene expression studies to demonstrate how the workflow facilitates interpretation of drivers of expression variation in complex study designs with multiple dimensions of variation. We illustrate how variancePartition enables rapid interpretation of the drivers of expression variation in these complex datasets.
