TF and cancer: Recently, Lu et al. proposed a Lasso regression model that utilizes computationally predicted regulatory interactions and cancer parallel expression data to infer miRNA-target regulatory networks [17], Yu et al. used stepwise linear regression model (STEP) that also integrates predicted regulations with expression data to obtain a combinatorial network of TF and miRNA in cancer [18].