normalisation.gs: Global scaling 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 is only included for backwards compatibility with the pplr package. This function is now superceded by pumaNormalize.

This function does the global scaling normalisation.

Usage

normalisation.gs(x)

Arguments

x	a matrix or data frame which contains gene expression level on log2 scale.

Details

Each row of x is related to a gene and each column is related to a chip.

Value

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

Author(s)

Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray

See Also

See Also as bcomb and hcomb

Examples

if(FALSE){
data(exampleE)
exampleE.normalised<-normalisation.gs(exampleE)
data(Clust.exampleE)
Clust.exampleE.normalised<-normalisation.gs(Clust.exampleE)
}

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