FIG. 2.

ROC analysis of genome prediction model. (A) Training set ROC based on top 500 differentially expressed genes between recurrence and nonrecurrence samples from the transcriptome sequencing using LOOCV strategy with RF method. (B) Testing set ROC based on the algorithm determined in the training set of (A). (C) Training set ROC based on transcriptome and exome sequencing results using RF method. (D) Testing set ROC based on the algorithm determined in the training set of (C). (E) ROC of pooled training and testing cohorts based on transcriptome sequencing using LOOCV strategy with RF method. (F) ROC of pooled training and testing cohorts based on transcriptome and exome sequencings using LOOCV strategy with RF method. Abbreviation: CV, cross validation.