medianNormalization: Intensity of each variable in a given sample is divided by...

View source: R/normMethods.R

medianNormalizationR Documentation

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

Description

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

Usage

medianNormalization(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 <- medianNormalization(example_data_only_values)

ComputationalProteomics/NormalyzerDE documentation built on Oct. 18, 2024, 9:57 p.m.