Inferring Pathway Activity toward Precise Disease Classification
Figure 3
Classification accuracy within (A) and across (B) datasets.
Bar chart of Area Under ROC Curve (AUC) classification performance of CORG-based pathway markers (PAC), conventional pathway markers (Mean, Median, and PCA), and individual genes (Gene; same number of top discriminative genes as the number of CORGs in pathway markers). Classification performance is summarized as mean±ste of AUC over 100 runs of 5-fold cross-validation within a dataset. To compute PAC_random, the AUC values of 1000 sets of random gene sets were averaged. Numbers above the red bars are -log (p-value) from the Wilcoxon signed-rank test on the 500 AUCs of “PAC” against those of “Gene” (only the ones with p-value<0.05 are shown). The p-values measure the significance of difference between PAC and gene-based classification.