Fig. 7.

Aβ₄₂:T-tau plus miRNAs dramatically improves classification performance over the best-possible miRNAs-only model. The plot depicts the receiver operating characteristics (ROC) curves for a multimarker model that includes the “best” (i.e., top-contributing) 14 miRNAs (dashed line), Aβ₄₂:T-tau only (dark gray line), and the best 14 miRNAs plus Aβ₄₂:T-tau (solid line). Area under the curve (AUC) increases from 0.820 for the miR-NAs without Aβ₄₂:T-tau to 0.903 with Aβ₄₂:T-tau (ΔAUC = 0.08). The AUC estimates are based on k-nearest-neighbor nonparametric classifiers that incorporate information from the top 14 miRNAs found to contribute to the best multimarker models (Table 4).