meanNormalization {NormalyzerDE} | R Documentation

## 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.

### Description

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)

[Package NormalyzerDE version 1.2.0 Index]