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. 2019 Nov 26;50:135–143. doi: 10.1016/j.ebiom.2019.11.016

Fig. 3.

Fig. 3

Classification accuracy of the combination of hsa-mir-383, hsa-mir-615 and hsa-mir-877 in TCGA dataset (486 cancer patients and 44 normal controls). The five-fold cross-validation result indicated that the combination of three miRNAs hsa-mir-383, hsa-mir-615, and hsa-mir-877 demonstrated the best prediction accuracy with an average AUC (Area Under the Curve) of 99.4%.