aggregateProteins: aggregate peptides - given msexperiment with transitons
In wolski/imsbInfer: Visualization, normalization and QC of proteomics SWATH-MS data
Description
Usage
Arguments
See Also
Examples
View source: R/aggregateMSexperiment.R
Description
aggregate peptides - given msexperiment with transitons
Usage
1
aggregateProteins(msexp, FUN = sum)
Arguments
msexp
- msexperiment
FUN
aggregation function to use
See Also
aggregatePeptide
Examples
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data( feature_alignment_requant )
msexp = loadTransitonsMSExperiment( feature_alignment_requant , nrt = 3 , peptop = 3 )
x = msexp
x = removeDecoys( x )
table( table( x$pepinfo$ProteinName ) )
y = aggregateProteins( x )
stopifnot(rownames(y$pepinfo$ProteinName) == rownames(y$Intensity))
stopifnot( table( table( y$pepinfo$ProteinName ) ) == 50 )
wolski/imsbInfer documentation built on March 27, 2021, 11:39 p.m.
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Description Usage Arguments See Also Examples
View source: R/aggregateMSexperiment.R
Description
aggregate peptides - given msexperiment with transitons
Usage
1 | aggregateProteins(msexp, FUN = sum)
|
Arguments
msexp |
- msexperiment |
FUN |
aggregation function to use |
See Also
aggregatePeptide
Examples
1 2 3 4 5 6 7 8 | data( feature_alignment_requant )
msexp = loadTransitonsMSExperiment( feature_alignment_requant , nrt = 3 , peptop = 3 )
x = msexp
x = removeDecoys( x )
table( table( x$pepinfo$ProteinName ) )
y = aggregateProteins( x )
stopifnot(rownames(y$pepinfo$ProteinName) == rownames(y$Intensity))
stopifnot( table( table( y$pepinfo$ProteinName ) ) == 50 )
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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