appendSecondaryComplexFeatures: Append secondary features to scored filtered primary feature...
In CCprofiler/CCprofiler: Complex feature detection using SEC protein chromatograms.
Description
Usage
Arguments
Value
View source: R/estimateQvalues.R
Description
Append secondary features to scored filtered primary feature table
Usage
1
2
appendSecondaryComplexFeatures(scoredPrimaryFeatures, allFeatures,
peakCorr_cutoff = 0.5)
Arguments
scoredPrimaryFeatures
data.table output from scoreFeatures function
allFeatures
data.table, output from findComplexFeatures or findProteinFeatures function including primary and secondary features
peakCorr_cutoff
numeric, minimum required peak orrelation for a secondary feature. Between 0 and 1, default = 0.05
Value
data.table with scored and filtered features
CCprofiler/CCprofiler documentation built on May 19, 2021, 7:40 p.m.
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Description Usage Arguments Value
View source: R/estimateQvalues.R
Description
Append secondary features to scored filtered primary feature table
Usage
1 2 | appendSecondaryComplexFeatures(scoredPrimaryFeatures, allFeatures,
peakCorr_cutoff = 0.5)
|
Arguments
scoredPrimaryFeatures |
data.table output from scoreFeatures function |
allFeatures |
data.table, output from findComplexFeatures or findProteinFeatures function including primary and secondary features |
peakCorr_cutoff |
numeric, minimum required peak orrelation for a secondary feature. Between 0 and 1, default = 0.05 |
Value
data.table with scored and filtered features
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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