svm_classification: SVM classification for each feature
In StarBioTrek: StarBioTrek

Description Usage Arguments Value Examples

svm class creates a list with AUC, Accuracy, Sensitivity, Specificity values

1	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)