Figure 4.

(a) AUROC and (b) AUPR scores obtained by ensembles of the inference methods (i.e., BRS•SVM•Ens and BRS•SVM•Ens•Corr), single methods, and DREAM5 community. The ensembles of GReNaDIne that contained BRSr, an SVM-based method, as well as a method based on ensembles of trees or linear regressors (ensemble termed BRSr•SVM•Ens), and also including an extra correlation- or MI-based method (ensemble termed BRSr•SVM•Ens•Corr), revealed to be efficient and robust across different datasets, outperforming single methods as well as the robust DREAM5 community method, with respect to both the AUROC and AUPR scores.