| Parameter settings, implementation, and availability | For the multi-class SVM , one-versus-rest (OVR) approach was used in which for each class, a binary classifier is built for the class label and the rest. |
| Parameter settings, implementation, and availability | Each binary SVM was built using Gaussian Radial Basis Function (RBF) kernel and the default sigma factor of 1 was used. |
| Supporting Information | In each iteration, the phase of all samples that were originally unannotated is predicted, based on an ensample of 4 machine learning methods (Naive Bayes, SVM , Decision Tree, KNN) that produce a consensus outcome, as described in the Methods section of the manuscript. |