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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs

Fig. 2

Performance of RWRMTN as a function of the algorithm parameters, using mutual heterogeneous miRNA networks. Performance is an average of AUC values over a set of disease phenotypes collected from the miR2Disease database [45]. The restart probability γ was varied in the range [0.1, 0.9]. The weight parameter α) was set to values in {0.1, 0.3, 0.5, 0.7, 0.9}. Results are reported for (a) HetermiRWalkNet-mutual and (b) HeterTargetScanNet-mutual

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