impRamSearch: impRamSearch
In RAMClustR: Mass Spectrometry Metabolomics Feature Clustering and Interpretation
impRamSearch R Documentation
impRamSearch
Description
import ramsearch output for annotating an RC object
Usage
impRamSearch(ramclustObj = NULL, ramsearchout = "spectra/results.rse")
Arguments
ramclustObj
ramclustR object to annotate
ramsearchout
path to .rse file to import
Details
Annotation of ramclustR exported .msp spectra is accomplished using RAMSearch. Exported ramsearch annotations (.rse) can be imported with this function
Value
returns a ramclustR object. new slots holding .rse data
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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| impRamSearch | R Documentation |
impRamSearch
Description
import ramsearch output for annotating an RC object
Usage
impRamSearch(ramclustObj = NULL, ramsearchout = "spectra/results.rse")
Arguments
ramclustObj |
ramclustR object to annotate |
ramsearchout |
path to .rse file to import |
Details
Annotation of ramclustR exported .msp spectra is accomplished using RAMSearch. Exported ramsearch annotations (.rse) can be imported with this function
Value
returns a ramclustR object. new slots holding .rse data
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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