This is the released version of CluMSID; for the devel version, see CluMSID.
Clustering of MS2 Spectra for Metabolite IdentificationBioconductor version: Release (3.21)
CluMSID is a tool that aids the identification of features in untargeted LC-MS/MS analysis by the use of MS2 spectra similarity and unsupervised statistical methods. It offers functions for a complete and customisable workflow from raw data to visualisations and is interfaceable with the xmcs family of preprocessing packages.
Author: Tobias Depke [aut, cre], Raimo Franke [ctb], Mark Broenstrup [ths]
Maintainer: Tobias Depke <depke at mailbox.org>
Citation (from within R, entercitation("CluMSID")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CluMSID")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CluMSID")
Details biocViews Clustering, Metabolomics, Preprocessing, Software Version 1.24.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License MIT + file LICENSE Depends R (>= 3.6) Imports mzR, S4Vectors, dbscan, RColorBrewer, ape, network, GGally, ggplot2, plotly, methods, utils, stats, sna, grDevices, graphics, Biobase, gplots, MSnbase System Requirements URL https://github.com/tdepke/CluMSID Bug Reports https://github.com/tdepke/CluMSID/issues See More Suggests knitr, rmarkdown, testthat, dplyr, readr, stringr, magrittr, CluMSIDdata, metaMS, metaMSdata, xcms Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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