Fig. 2: Concept and validation of sc-compReg.
A Concept of TF regulatory potential (TFRP). Here TF indicate TF expression, REk is the accessibility of the k-th RE, Bk indicates the TF-motif matching strength in the k-th RE, and Ik is an interaction strength for whether the k-th RE is linked to the TG in the subpopulation-specific regulatory network (constructed in a preceding step in the sc-compReg pipeline. B Two types of differential regulations: differential TFRP (left) and differential regulatory structure (right). C Comparison of the conditional distribution of TFRP given TG expression by the likelihood ratio, for detail please see “Statistical test for differential regulatory relations” in the “Methods” section. D ROC curves of differential regulatory detection on three simple scenarios of simulation data: differential TF expression, differential RE accessibility, and differential regulatory network structure. For simulation detail please see “Differential regulatory network data simulation” in the “Methods” section. E ROC curves of differential regulatory detection on simulation data containing all three types of differential regulation. F Comparison of likelihood ratio distribution with chi-square distribution and Gamma distribution. G Comparison of estimated FDR with the empirical FDR.
