svm_classification {StarBioTrek} | R Documentation |
svm class creates a list with AUC, Accuracy, Sensitivity, Specificity values
svm_classification(TCGA_matrix, tumour, normal, nfs)
TCGA_matrix |
gene expression matrix where the first two columns represent the interacting pathways. |
tumour |
barcode samples for a class |
normal |
barcode samples for another class |
nfs |
nfs split data into a training and test set |
Target |
label for the classes |
a list with AUC value for pairwise pathway
## Not run: nf <- 60 res_class<-svm_classification(TCGA_matrix=score_euc_dista[1:30,],nfs=nf, normal=colnames(norm[,1:10]),tumour=colnames(tumo[,1:10])) ## End(Not run)