Fig. 5

Evaluation of NS diagnostic models based on DEGs and IRGs. a ROC curves were calculated to evaluate the diagnostic efficiency of the DEG and IRG gene signatures with the validation dataset 1. b AUC values of both models obtained by 1000 repeated tests based on bootstrap methods were shown in the density plot to validate the conclusions. c ROC curves were calculated to evaluate the diagnostic efficiency of the DEG and IRG signatures with the validation dataset 2. d AUC values of both models obtained by 1000 repeated tests based on bootstrap methods were shown in the density plot to validate the conclusions. AUC area under the curve, CI confidence interval, DEG differentially expressed gene, IRG immune-related gene