Computes normalized intensity for each channel and each array from the file containing normalized data.
Intensity.Norm(fileIN = "resNorm.txt", n = 3, ind.array = NULL,
name.A = "A", name.M = "M.norm", sep = "\t", center = FALSE,
log.transf = TRUE, ...)input dataframe.
number of identificant columns.
indices of arrays to use.
character string containing a regular expression contained in the columnames corresponding to the A values.
character string containing a regular expression contained in the columnames corresponding to the M values.
the field separator string to use in the read.table function.
logical indicating wether data will be centered by array.
logical indicating wether data will stay log-transformed.
Further arguments to be passed to read.table.
A R dataframe containing the n first columns of the input dataframe and the "normalized" intensity for the red and green channels of each chosen array.
Thorne, N.P. (2004) Single-channel normalisation and analysis of twocolour cDNA microarray data, PhD thesis