Fig. 6

ROC curve analysis of piRNA as potential non-invasive biomarkers for WT. (a) ROC curves for significantly downregulated piRNA in WT, with the highest AUC values. (b) ROC curves for significantly upregulated piRNA, with the highest AUC values for detecting WT. The vertical axis represents sensitivity, while the horizontal axis represents 1 - specificity. The central diagonal line represents the reference (no discrimination), while the colored lines represent the ROC curves for downregulated and upregulated piRNA. The ROC curves were visualized using the Python scikit-learn library. The AUC values ranged from 0.7148 to 0.9481 (95% CI: 0.95), indicating good discriminatory ability