dream: Powerful differential expression analysis for repeated measures designs

Abstract

Large scale RNA-seq studies with multiple samples per individual are widely used to study disease biology. Yet current methods for differential expression are inadequate for these repeated measures designs. Here we introduce a novel method, dream, that increases power, controls the false positive rate, integrates with standard workflows, and yields biological insight in multiple datasets.