Statistical redundancy within TFs and HMs in predicting genome-wide mRNA transcript abundance. (a,b) mESCs and (c,d) GM12878 cells. Adjusted R2 distributions of the log-linear regression models for all combinations of n TFs (a,c) and m HMs and DNase (b,d). The minimum and maximum prediction accuracies for each n and m are connected by the blue and red curves, respectively. Although models constructed from more regulatory elements generally yielded improved prediction accuracy, the rapidly diminishing improvement when adding additional elements to the model suggests significant statistical redundancy within TFs and HMs. It is important to note that statistical redundancy does not necessarily imply functional redundancy. HM, histone modification; TF, transcription factor.