svm_classification: SVM classification for each feature
In claudiacava/StarBioTrek: StarBioTrek

svm class creates a list with auc value

1	svm_classification(TCGA_matrix, tumour, normal, nfs)

`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

a list with AUC value for pairwise pathway

1
2
3

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

claudiacava/StarBioTrek documentation built on May 28, 2019, 7:29 p.m.

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