clusterNormVar {puma} | R Documentation

## Adjusting expression variance for zero-centered normalisation

### 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))

[Package puma version 3.24.0 Index]