Mean Normalization of Proteomics Data

Corrects for sample-specific biases by scaling each sample (column) to have the same mean abundance.

This method adjusts each sample's intensities by a multiplicative factor, aligning the mean of every sample to a global mean calculated from the entire dataset.

Usage

mean_normalize(object)

Arguments

object

A SummarizedExperiment object

Value

A SummarizedExperiment object with its data normalized by the mean-centering method.

Details

This multiplicative adjustment is typically used for raw, non-log-transformed intensity data.