Intensity of each variable in a given sample is divided by the mean of sum of intensities of all variables in the sample and then multiplied by the mean of sum of intensities of all variables in all samples. The normalized data is then transformed to log2.

Intensity of each variable in a given sample is divided by the mean of sum of intensities of all variables in the sample and then multiplied by the mean of sum of intensities of all variables in all samples. The normalized data is then transformed to log2.

Usage

meanNormalization(rawMatrix, noLogTransform = FALSE)

Arguments

rawMatrix

Target matrix to be normalized

noLogTransform

Assumes no need for log transformation

Value

Normalized and log-transformed matrix

Examples

data(example_data_only_values_small)
normMatrix <- meanNormalization(example_data_only_values)