cmpd.summary: cmpd.summary
In RAMClustR: Mass Spectrometry Metabolomics Feature Clustering and Interpretation
cmpd.summary R Documentation
cmpd.summary
Description
a bit of reporting for compounds, quick access summary and plot (if available)
Usage
cmpd.summary(ramclustObj = NULL, cmpd = 1)
Arguments
ramclustObj
ramclustR object to annotate
cmpd
integer. compound number to report. i.e. 459.
Details
Reports name, annotation, retention time, number of features in spectrum, median and mean signal intensity, and if interpretMSSpectrum (do.findmain) has been run, plots an annotated MS level spectrum.
Author(s)
Corey Broeckling
References
Broeckling CD, Afsar FA, Neumann S, Ben-Hur A, Prenni JE. RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data. Anal Chem. 2014 Jul 15;86(14):6812-7. doi: 10.1021/ac501530d. Epub 2014 Jun 26. PubMed PMID: 24927477.
Broeckling CD, Ganna A, Layer M, Brown K, Sutton B, Ingelsson E, Peers G, Prenni JE. Enabling Efficient and Confident Annotation of LC-MS Metabolomics Data through MS1 Spectrum and Time Prediction. Anal Chem. 2016 Sep 20;88(18):9226-34. doi: 10.1021/acs.analchem.6b02479. Epub 2016 Sep 8. PubMed PMID: 7560453.
RAMClustR documentation built on Oct. 20, 2023, 5:08 p.m.
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| cmpd.summary | R Documentation |
cmpd.summary
Description
a bit of reporting for compounds, quick access summary and plot (if available)
Usage
cmpd.summary(ramclustObj = NULL, cmpd = 1)
Arguments
ramclustObj |
ramclustR object to annotate |
cmpd |
integer. compound number to report. i.e. 459. |
Details
Reports name, annotation, retention time, number of features in spectrum, median and mean signal intensity, and if interpretMSSpectrum (do.findmain) has been run, plots an annotated MS level spectrum.
Author(s)
Corey Broeckling
References
Broeckling CD, Afsar FA, Neumann S, Ben-Hur A, Prenni JE. RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data. Anal Chem. 2014 Jul 15;86(14):6812-7. doi: 10.1021/ac501530d. Epub 2014 Jun 26. PubMed PMID: 24927477.
Broeckling CD, Ganna A, Layer M, Brown K, Sutton B, Ingelsson E, Peers G, Prenni JE. Enabling Efficient and Confident Annotation of LC-MS Metabolomics Data through MS1 Spectrum and Time Prediction. Anal Chem. 2016 Sep 20;88(18):9226-34. doi: 10.1021/acs.analchem.6b02479. Epub 2016 Sep 8. PubMed PMID: 7560453.
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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