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MetaboDynamics
This is the released version of MetaboDynamics; for the devel version, see MetaboDynamics.
Bayesian analysis of longitudinal metabolomics data
Bioconductor version: Release (3.22)
MetaboDynamics is an R-package that provides a framework of probabilistic models to analyze longitudinal metabolomics data. It enables robust estimation of mean concentrations despite varying spread between timepoints and reports differences between timepoints as well as metabolite specific dynamics profiles that can be used for identifying "dynamics clusters" of metabolites of similar dynamics. Provides probabilistic over-representation analysis of KEGG functional modules and pathways as well as comparison between clusters of different experimental conditions.
Author: Katja Danielzik [aut, cre] ORCID iD ORCID: 0009-0007-5021-6212 , Simo Kitanovski [ctb] ORCID iD ORCID: 0000-0003-2909-5376 , Johann Matschke [ctb] ORCID iD ORCID: 0000-0003-4878-8741 , Daniel Hoffmann [ctb] ORCID iD ORCID: 0000-0003-2973-7869
Maintainer: Katja Danielzik <katja.danielzik at uni-due.de>
citation("MetaboDynamics")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MetaboDynamics")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MetaboDynamics")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.