Normalisation of MSnExp, MSnSet and Spectrum objects
Raw spectra and experiments are normalised using max or
sum only. For MSMS spectra could be normalised to their
precursor additionally. Each peak intensity is divided by the
highest intensity in the spectrum, the sum of intensities or the intensity
of the precursor.
These methods aim at facilitating relative peaks heights between
different spectra.
The method parameter for "MSnSet" can be
one of sum, max, quantiles, center.mean,
center.median, .median, quantiles.robust or
vsn. For sum and max, each feature's reporter
intensity is divided by the maximum or the sum respectively. These two
methods are applied along the features (rows).
center.mean and center.median translate the respective
sample (column) intensities according to the column mean or
median. diff.median translates all samples (columns) so that
they all match the grand median. Using quantiles or
quantiles.robust applies (robust) quantile normalisation, as
implemented in normalize.quantiles and
normalize.quantiles.robust of the preprocessCore
package. vsn uses the vsn2 function from the
vsn package. Note that the latter also glog-transforms the
intensities. See respective manuals for more details and function
arguments.
The normalise methods:
signature(object = "MSnSet", method = "character")Normalises the object reporter ions intensities using
method.
signature(object = "MSnExp", method = "character")Normalises the object peak intensities using
method.
signature(object = "Spectrum", method = "character")Normalises the object peak intensities using
method.
signature(object = "Spectrum2", method = "character",
precursorIntensity)Normalises the object peak intensities using
method. If method == "precursor",
precursorIntensity allows to specify the intensity of the
precursor manually.
The scale method:
signature(x = "MSnSet", center = "logical", scale =
"logical") See ?base::scale.
## quantifying full experiment data(msnset) msnset.nrm <- normalise(msnset, "quantiles") msnset.nrm
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