Fig. 8
From: Identification of metabolism-related subtypes and feature genes in Alzheimer’s disease
Validation of the diagnostic efficacy of the feature genes. A Nomogram displaying the predicted risk for AD based on the feature genes. B Calibration curve showing the predicted performance of the nomogram in internal datasets including the training and testing datasets. C DCA showing the clinical benefits of the nomogram in the internal datasets, including the training and testing datasets. D ROC curves showing the diagnostic performance of the feature genes in the internal datasets, including the training and testing datasets. E–L ROC curves showing the diagnostic performance of genes identified in the eight datasets, including GSE5281 E, GSE48350 F, GSE118553 G, GSE122063 H, GSE132903 I, GSE8442201 J, GSE28146 K, and GSE1297 L. (ns indicates no significance, *P < 0.05, **P < 0.01, ***P < 0.005, ****P < 0.0001)