Figure 6

Predictive accuracy of the OPLS-DA model discriminating esophageal carcinoma and healthy controls summarized using ROC curve analysis. The ROC curve of the OPLS-DA model discriminating esophageal cancers and controls generated using cross-validated predicted-Y values of the OPLS-DA model. AUROC = 0.9810. Statistical validation of the OPLS-DA model by permutation analysis using 100 different model permutations. The goodness of fit (R²) and predictive capability (Q²) of the original model are indicated on the far right and remain higher than those of the 100 permuted models to the left. AUROC, area under the receiver operating curve; OPLS-DA, orthogonal partial least squares discriminant analysis; ROC, receiver operating curve.