Fig. 2From: RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene networkPrediction performance of breast cancer by RWRMTN on the two miRNA-target gene datasets (miRWalk and TargetScan). a The AUC values when the restart probability was varied in a range [0.1, 0.9]. b The ROC curve and the AUC values when the restart probability was set to 0.5 for the case study. For all experiments, the weight parameter was set to 0.5Back to article page