Class prediction was performed using support vector machines (SVM). The 144 transcripts derived from the Training Set were used to build the SVM model, the model was then run in the other two cohorts
A) Distribution of AUC along with the different sizes of training sets in ECO and SCE. B) Distribution of PPV along with the different sizes of training sets in ECO and SCE. C) Mean curve of AUC along
