
combineFeatures
for a more
general overview of feature aggregation and examples.
iPQF(object, groupBy, low.support.filter = FALSE, ratio.calc = "sum", method.combine = FALSE, feature.weight = c(7, 6, 4, 3, 2, 1, 5)^2)
MSnSet
containing
absolute ion intensities.fData(object)$accession
.logical
specifying if proteins
being supported by only 1-2 peptide spectra should be filtered
out. Default is FALSE
."none"
(don't calculate any
ratios), "sum"
(default), or a specific channel (one of
sampleNames(object)
) defining how to calculate relative
peptides intensities.logical
defining whether to further
use median polish to combine features."numeric"
giving weight to the different
features. Default is the squared order of the features redundant
-unique-distance metric, charge state, ion intensity, sequence length,
identification score, modification state, and mass based on a robustness
analysis.matrix
with estimated protein ratios.
data(msnset2)
head(exprs(msnset2))
prot <- combineFeatures(msnset2,
groupBy = fData(msnset2)$accession,
fun = "iPQF")
head(exprs(prot))
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