performQuantileNormalization {NormalyzerDE} | R Documentation

## Quantile normalization is performed by the function "normalize.quantiles" from the package preprocessCore.

### Description

It makes the assumption that the data in different samples should originate from an identical distribution. It does this by generating a reference distribution and then scaling the other samples accordingly.

### Usage

    performQuantileNormalization(rawMatrix, noLogTransform = FALSE)

### Arguments

`rawMatrix` | Target matrix to be normalized
`noLogTransform` | Assumes no need for log transformation

### Value

Normalized matrix

### Examples

    data(example_data_only_values_small)
    normMatrix <- performQuantileNormalization(example_data_only_values)

[Package NormalyzerDE version 1.6.0 Index]