normalize_rlr_MSqRob_implementation: Robust Linear Regression (RLR) normalization as sourced from...

In ftwkoopmans/msdap: Mass Spectrometry Downstream Analysis Pipeline

Robust Linear Regression (RLR) normalization as sourced from MSqRob package

Description

copy/paste of code @ https://github.com/statOmics/MSqRob/blob/MSqRob0.7.6/R/preprocess_MaxQuant.R

Usage

normalize_rlr_MSqRob_implementation(exprs, weights = NULL)

Arguments

exprs	numerical matrix
weights	optional vector of weights (per row) to be supplied to MASS::rlm()

Details

For each sample s, perform a robust linear regression of all values (peptide intensities) against overall median values (e.g. median value of each peptide over all samples) to obtain the normalization factor for sample s.

ftwkoopmans/msdap documentation built on March 5, 2025, 12:15 a.m.