getTopX: Calculate Mean of X most intense features
In eahrne/SafeQuant: A Toolbox for the Analysis of Proteomics Data
Description
Usage
Arguments
Details
Value
Note
References
Examples
View source: R/ExpressionAnalysis.R
Description
Calculate Mean of X most intense features
Usage
1
getTopX(entryData, topX = 3)
Arguments
entryData
data.frame listing feature intensities of one entry. Typically rows corresponds to Peptide entries of one protein
topX
best X flyers
Details
No details
Value
vector of topX intensities per column (sample)
Note
No note
References
Absolute quantification of proteins by LCMSE: A virtue of parallel MS acquisition, Silva (2006), http://www.ncbi.nlm.nih.gov/pubmed/16219938, Critical assessment of proteome-wide label-free absolute abundance estimation strategies. Ahrne (2013), http://www.ncbi.nlm.nih.gov/pubmed/23794183
Examples
1
print("No examples")
eahrne/SafeQuant documentation built on April 8, 2021, 10:10 a.m.
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Description Usage Arguments Details Value Note References Examples
View source: R/ExpressionAnalysis.R
Description
Calculate Mean of X most intense features
Usage
1 | getTopX(entryData, topX = 3)
|
Arguments
entryData |
data.frame listing feature intensities of one entry. Typically rows corresponds to Peptide entries of one protein |
topX |
best X flyers |
Details
No details
Value
vector of topX intensities per column (sample)
Note
No note
References
Absolute quantification of proteins by LCMSE: A virtue of parallel MS acquisition, Silva (2006), http://www.ncbi.nlm.nih.gov/pubmed/16219938, Critical assessment of proteome-wide label-free absolute abundance estimation strategies. Ahrne (2013), http://www.ncbi.nlm.nih.gov/pubmed/23794183
Examples
1 | print("No examples")
|
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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