svm_classification {StarBioTrek}R Documentation

SVM classification for each feature

Description

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

Usage

svm_classification(TCGA_matrix, tumour, normal, nfs)

Arguments

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

Value

a list with AUC value for pairwise pathway

Examples

## 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)

[Package StarBioTrek version 1.10.0 Index]