clusterNormVar: Adjusting expression variance for zero-centered normalisation

In puma: Propagating Uncertainty in Microarray Analysis(including Affymetrix tranditional 3' arrays and exon arrays and Human Transcriptome Array 2.0)

Description

This function adjusts the variance of the gene expression according to the zero-centered normalisation.

Usage

clusterNormVar(x)

Arguments

x	a vector which contains the variance of gene expression level on log2 scale.

Details

Vector x is related to a gene and each element is related to a chip.

Value

The return vector is in the same format as the input x.

Author(s)

Xuejun Liu, Magnus Rattray

See Also

See Also as pumaClust and pumaClustii

Examples

#data(Clust.exampleE)
#data(Clust.exampleStd)
#Clust.exampleVar<-Clust.exampleStd^2
#Clust.exampleStd.centered<-t(apply(cbind(Clust.exampleE,Clust.exampleVar), 1, clusterNormVar))

puma documentation built on Nov. 8, 2020, 11:08 p.m.