Figure 5

Metastasis prediction performance using GSAS. (A) A receiver operating characteristic (ROC) curve for the Random Forest classification of metastatic versus non-metastatic samples in the van de Vijver dataset using GSASs that significantly differed between metastatic and non-metastatic samples in the van de Vijver dataset (Wilcoxon rank-sum test, FDR < 0.01) as the training data. (B) The relative importance values assigned by the Random Forest classifier used in (A) to each gene set when classifying samples. (C, D) AUC scores for the Random Forest classification of metastatic versus non-metastatic samples in different datasets when using GSASs that significantly differed between metastatic and non-metastatic samples in van de Vijver (C) and Pawitan (D) as the training data.