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MetaboDynamics

Bayesian analysis of longitudinal metabolomics data

Bioconductor version: 3.23 · Package version: 2.2.1

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MetaboDynamics")

Details

MaintainerKatja Danielzik <katja.danielzik@uni-due.de>
AuthorKatja Danielzik [aut, cre] (ORCID: <https://orcid.org/0009-0007-5021-6212>), Simo Kitanovski [ctb] (ORCID: <https://orcid.org/0000-0003-2909-5376>), Johann Matschke [ctb] (ORCID: <https://orcid.org/0000-0003-4878-8741>), Daniel Hoffmann [ctb] (ORCID: <https://orcid.org/0000-0003-2973-7869>)
LicenseGPL (>= 3)
URLhttps://github.com/KatjaDanielzik/MetaboDynamics
Bug Reportshttps://github.com/KatjaDanielzik/MetaboDynamics/issues
System RequirementsGNU make
Downloads rank311
Source branchRELEASE_3_23
biocViewsBayesian, Clustering, FunctionalPrediction, KEGG, Metabolomics, MultipleComparison, Pathways, Software, TimeCourse

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMetaboDynamics_2.2.1.tar.gz
Windows binary (x86_64)MetaboDynamics_2.2.1.zip
macOS binary (arm64)MetaboDynamics_2.2.1.tgz
macOS binary (x86_64)MetaboDynamics_2.2.0.tgz
Dependencies

Depends: R (>= 4.4.0)

Imports: dplyr, ggplot2, KEGGREST, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), S4Vectors, stringr, SummarizedExperiment, tidyr, dynamicTreeCut, rlang, ape, ggtree, patchwork

LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)

Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)