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RAMClustR  

Mass Spectrometry Metabolomics Feature Clustering and Interpretation
View on CRAN: Click here


Download and install RAMClustR package within the R console
Install from CRAN:
install.packages("RAMClustR")

Install from Github:
library("remotes")
install_github("cran/RAMClustR")

Install by package version:
library("remotes")
install_version("RAMClustR", "1.3.1")



Attach the package and use:
library("RAMClustR")
Maintained by
Helge Hecht
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-18
Latest Update:
Description:
A feature clustering algorithm for non-targeted mass spectrometric metabolomics data. This method is compatible with gas and liquid chromatography coupled mass spectrometry, including indiscriminant tandem mass spectrometry data .
How to cite:
Helge Hecht (2019). RAMClustR: Mass Spectrometry Metabolomics Feature Clustering and Interpretation. R package version 1.3.1, https://cran.r-project.org/web/packages/RAMClustR. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:18), 1.0.0 (2019-01-18 22:50), 1.0.4 (2019-02-13 23:20), 1.0.6 (2019-04-24 01:00), 1.0.8 (2019-08-29 11:20), 1.0.9 (2019-09-21 01:10), 1.2.0 (2021-04-22 17:20), 1.2.1 (2021-05-12 07:52), 1.2.2 (2021-08-11 23:30), 1.2.3 (2022-03-30 14:50), 1.2.4 (2022-04-13 09:52), 1.3.0 (2023-05-17 10:00), 1.3.1 (2023-10-20 17:20)
Other packages that cited RAMClustR R package
View RAMClustR citation profile
Other R packages that RAMClustR depends, imports, suggests or enhances
Complete documentation for RAMClustR
Functions, R codes and Examples using the RAMClustR R package
Some associated functions: RCQC . annotate . annotation.summary . assign.z . change.annotation . cmpd.summary . defineExperiment . do.findmain . export.msfinder.formulas . exportDataset . findfeature . findmass . fooddb2msfinder . getData . getSmilesInchi . impRamSearch . import.adap.kdb . import.msfinder.formulas . import.msfinder.mssearch . import.msfinder.structures . import.sirius . manual.annotation.template . mergeRCobjects . ramclustR . rc.calibrate.ri . rc.cmpd.filter.cv . rc.cmpd.get.classyfire . rc.cmpd.get.pubchem . rc.cmpd.get.smiles.inchi . rc.cmpd.replace.na . rc.expand.sample.names . rc.export.msp.rc . rc.feature.filter.blanks . rc.feature.filter.cv . rc.feature.normalize.qc . rc.feature.normalize.tic . rc.feature.replace.na . rc.get.xcms.data . rc.qc . rc.ramclustr . rc.remove.qc . rc.restore.qc.samples . write.methods . write.msp . 
Some associated R codes: RCQC.R . annotate.R . annotation.summary.R . assign.z.R . calculate.similarity.R . change.annotation.R . cmpd.summary.R . defineExperiment.R . do.findmain.R . export.msfinder.formulas.R . exportDataset.R . findfeature.R . findmass.R . fooddb2msfinder.R . getData.R . getSmilesInchi.R . impRamSearch.R . import.MSFinder.formulas.R . import.MSFinder.structures.R . import.adap.kdb.R . import.msfinder.mssearch.R . import.sirius.R . manual.annotation.template.R . mergeRCobjects.R . ramclustR.R . rc.calibrate.ri.R . rc.cmpd.cv.filter.R . rc.cmpd.get.classyfire.R . rc.cmpd.get.pubchem.R . rc.cmpd.get.smiles.inchi.R . rc.cmpd.replace.na.R . rc.expand.sample.names.R . rc.export.msp.rc.R . rc.feature.cv.filter.R . rc.feature.filter.blanks.R . rc.feature.filter.cv.R . rc.feature.normalize.qc.R . rc.feature.normalize.tic.R . rc.feature.replace.na.R . rc.get.xmcs.data.R . rc.qc.R . rc.ramclustr.R . rc.remove.qc.R . rc.restore.qc.samples.R . write.methods.R . write.msp.R .  Full RAMClustR package functions and examples
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