Returns accuracy performance of all genes. G support vector machine (SVM) classifiers trained using G different data matrixes, are used to predict labels in test data. Models are ranked based on prediction performances.
Usage
Gsvmod(dat.train, lab.train, dat.test, lab.test)
Arguments
dat.train
Train data with G features and (k-1)*S/k samples. Parameter k comes from cross-validation scheme and is specified by user (default is 2).
lab.train
Class labels for train data.
dat.test
Test data with G features and S/k samples.
lab.test
Class labels for test data.
Value
Accuracy scores for models. Each model represents one gene.