Fig. 2From: Integrating random walk and binary regression to identify novel miRNA-disease associationPerformance comparisons between RWBRMDA and six state-of-the-art disease-miRNA association prediction models (RLSMDA, HDMP, MCMDA, RWRMDA, MaxFlow and MirAI) in terms of ROC curve and AUC value on LOOCV based on the same database of HMDD v2.0. As a result, RWBRMDA achieved AUC of 0.8076, which represented more outstanding prediction performance than the other mentioned modelsBack to article page