Fig. 7: Measurement of proteins that provide separation between disease cohorts.
From: Enrichment of extracellular vesicles using Mag-Net for the analysis of the plasma proteome
a Heatmap of 1093 proteins that had an ROC > 0.7 from any of the six pairwise analyses described in the text. b A receiver operator characteristic (ROC) curve that illustrates our ability to correctly separate people with ADD from other groups (i.e., PDD, PDCN, and HCN) using a hard-margin SVM with linear kernel. The plot shows the mean and standard deviation of 10 iterations of five-fold stratified cross-validation with different random splits. The results shown are the average performance of the model on held-out samples, which were not included in optimizing the machine learning algorithm.
