trainDataProc: trainDataProc Data preprocessing

In CRI-iAtlas/ImmuneSubtypeClassifier: An R package for classification of immune subtypes, in cancer, using gene expression data.

trainDataProc Data preprocessing

Description

trainDataProc Data preprocessing

Usage

trainDataProc(Xmat, Yvec, subtype = 1, ptail = 0.01, breakVec = c(0,
  0.25, 0.5, 0.75, 1))

Arguments

Xmat	Matrix of gene expression, samples in columns, genes in rows
Yvec	Vector of phenotype, strings, 1, 2, etc
subtype	cluster name, string '1', as in Yvec
ptail	Binary phenotype vector.
breakVec	vector of break points, used to bin expression data
testRes	List of previously calculated test results, from testFun(.)

Value

List of Xbin and Ybin, the binned, subset, and binarized values.

Examples

mod1 <- trainDataProc(Xmat, Yvec, ptail, cluster, breakVec==c(0, 0.25, 0.5, 0.75, 0.85, 1.0))

CRI-iAtlas/ImmuneSubtypeClassifier documentation built on Oct. 1, 2022, 10:50 a.m.