Fig. 2

Performance of the four classification models during model testing. a PCA using the 26 transcripts showed general separation between patients with IA (100%, circled in red) and controls (80%, circled in blue). b Validation of the classification models in an independent testing cohort of patients demonstrated that DLDA had the best performance, with sensitivity, specificity, and accuracy of 0.80, 1.0, and 0.90, respectively. c ROC analysis in the testing cohort also showed that DLDA had the best area under the curve (AUC) (0.80)