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 1.16.0 Index]