rankIvariantNormalise {beadarray} | R Documentation

## Rank Invariant normalise data in a matrix

### Description

Normalise expression matrix using rank invariant genes

### Usage

    rankInvariantNormalise(exprs, T)

### Arguments

`exprs` | a matrix of expression values
`T` | A target distribution vector to normalise the data to. The default is NULL in which case the average quantiles are used

### Details

Using the `normalize.invariantset` function from the affy package, we find a list of rank invariant genes whose rank does not change significantly between the columns of `exprs`. We then fit a normalising curve to each array using the values of the rank invariant genes of the array and a target distribution.

The target distribution may be specified by the user and by default is the vector of average quantiles across all arrays.

### Value

Matrix of normalised expression data with the same dimensions as `exprs`.

### Author(s)

Mark Dunning

### Examples

    data(BSData)

    BSData.ri  = assayDataElementReplace(BSData, "exprs", rankInvariantNormalise(exprs(BSData)))

[Package beadarray version 1.8.0 Index]