Fig. 4
Evaluation of UBE2N as a biomarker of AD. (A) Venn plots of the immune and diagnostic markers. (B) Correlation between genes. Red squares show the positive correlation of genes and blue squares represent the negative correlation of genes. (C) Training focused on the ROC curves for the diagnostic markers. (D) Norman diagrams were used to predict AD incidence. (E) The ROC curve evaluates the clinical application value of the Norman diagram model. (F) DCA curve evaluates the clinical application value of the Norman diagram model. (G) Clinical impact curve: the red curve (number of high-risk individuals) represents the number of individuals classified as positive (high-risk) by the model at each threshold probability; the blue curve (the number of at-risk individuals with results) is the number of true positives at each threshold probability. ROC, Receiver Operating Characteristic; DCA, decision curve analysis.
