Biomarker model performance
G-mean values, sensitivity, and specificity from the 8 machine learning algorithms are represented in Fig. G-mean, sensitivity and specificity for each machine learning algorithm trained and tested on sample from the CON and SR groups.The four algorithms with the highest G-means (glmnet, knn, rf, svm) were selected to build an ensemble. The ensemble model produced the highest overall G-mean out of all models. Regarding the classification, out of the CON group samples, 15 out of 21 (71%) were correctly classified. Of the SR group samples, 29 out of 34 (85%) were correctly classified (see Supplementary Fig. 