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

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)