svm_classification {StarBioTrek} | R Documentation

## SVM classification for each feature

### Description

svm class creates a list with auc value

### Usage

    svm_classification(TCGA_matrix, tumour, normal, nfs)

### Arguments

`TCGA_matrix` | gene expression matrix
`tumour` | barcode samples for a class
`normal` | barcode samples for another class
`nfs` | nfs split data into a training and test set

### Value

a list with AUC value for pairwise pathway

### Examples

    nf <- 60
    res_class<-svm_classification(TCGA_matrix=score_euc_dist,nfs=nf,
    normal=colnames(norm[,1:10]),tumour=colnames(tumo[,1:10]))

[Package StarBioTrek version 1.6.0 Index]