lmNorm: Linear Model Normalisation

In katenambiar/pmpa: Peptide Microarray Pre-Processing and Analysis

Description

This function normalises microarray data by fitting a linear model and then using the residuals of the fit as the normalised data. It is normally called from arrayNorm().

Usage

lmNorm(x, sampleID = sampleNames(x), featureID = fData(x)$ID,
  controlID = NULL, include.subarrays = TRUE)

Arguments

x	MultiSet Object
sampleID	vector of sample unique identifiers
featureID	vector of feature identifiers (can include repeated features)
controlID	vector of control feature identifiers (default = NULL)
include.subarrays	boolean - to use subarrays as a factor in the linear model (default = TRUE)

Value

matrix of normalised intensities

katenambiar/pmpa documentation built on May 20, 2019, 7:41 a.m.