Power analysis for RNA-Seq differential expression studies using generalized linear mixed effects models.

In summary, we provide a framework for power estimation of RNA-Seq differential expression under complex experimental designs. Simulation results demonstrate that both the proposed procedures properly control the false positive rate at the nominal level.