Figure 2.

Performance comparison between BLHARMDA and seven classical disease-miRNA association prediction models (MCMDA, HGIMDA, WBSMDA, HDMP, RLSMDA, MaxFlow and RKNNMDA) in terms of ROC curves and AUCs based on global LOOCV and comparison of AUCs based on the local LOOCV between BLHARMDA and above seven models and three local models (RLSMDA, MiRAI, MIDP). As a result, BLHARMDA outperformed other models by achieving an AUC of 0.9141 in global LOOCV and an AUC of 0.8390 in local LOOCV.