Fig. 2: Development and evaluation of a miRNA-based DRS.
From: A microRNA-based dynamic risk score for type 1 diabetes
a, Details of the study samples, their T1D status across the four contexts and the number of samples randomized for a training dataset (to generate the DRS4C model) and a testing dataset (to assess the performance of this model). b, ROC curve demonstrating the performance of DRS4C on the multicontext testing dataset (n = 661). The dashed black diagonal line is the discriminatory line; the solid blue and green lines show the ROC for class 0 (control) and 1 (T1D), respectively, while the dashed green lines represent the micro-average and macro-average ROCs (0.78–0.81). c, The key performance measures for DRS4C. d, A SHAP value beeswarm plot indicating the most important variables contributing to the performance of the DRS4C. Each point on the plot represents the SHAP value for study participants, with the position along the x axis representing the magnitude of the SHAP value and the color representing the weight for the feature value.
