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. 2022 Oct 11;32(6):934–947. doi: 10.1093/hmg/ddac250

Figure 7.

Figure 7

Random forest analysis using overlapping DmiRNAs. ROC curves for random forest analysis of (A) overlap DmiRNAs (shared by NanoStringDiff and nSolver) with an AUC of 0.831 (95% CI 0.734–0.929), (B) nSolver AUC 0.778 (95%CI 0.664–0.892) and (C) NanoStringDiff AUC 0.761 (95%CI 0.645–0.877). (D) Variable importance in projection plot ranking importance of DmiRNAs to all three classifiers, overlap (blue), NanoStringDiff (orange) and nSolver (grey). miR-26a-5p was the top candidate, followed by miR-30c-5p, across all methods.