Fig. 8
Differential Expression Validation, ROC Curve and Confusion Matrix Analysis. (A) Comparative clustering analysis of hub genes between hemorrhoids and control specimens in dataset GSE154650. (B–D) Receiver Operating Characteristic plots for hub genes PCK1, ALDOB, and PCK2 (B), PFKL, PKM, and ENO1 (C), FBP1 (D) within dataset GSE154650. (E) Confusion matrix evaluating the diagnostic performance of the integrated 7-hub gene model, demonstrating a true positive rate of 45.5%, true negative rate of 27.3%, false positive rate of 18.2%, and false negative rate of 9.1%. * indicates p-value < 0.05, demonstrating statistical significance; ** indicates p-value < 0.01, showing strong statistical significance; *** indicates p-value < 0.001, revealing exceptional statistical significance. An AUC exceeding 0.5 suggests that molecular expression facilitates event occurrence. The proximity of AUC to 1 correlates with enhanced diagnostic capability. An AUC ranging from 0.7 to 0.9 signifies moderate diagnostic precision, while values surpassing 0.9 indicate superior diagnostic accuracy. GRDEGs, Glycolysis-Related Differentially Expressed Genes; ROC, Receiver Operating Characteristic; AUC, Area Under the Curve; TPR, True Positive Rate; FPR, False Positive Rate. Purple denotes anal fissures (Control) specimens and red signifies hemorrhoids specimens.
