MetaboDynamics
Bayesian analysis of longitudinal metabolomics data
Bioconductor version: 3.23 · Package version: 2.2.0
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
| Maintainer | Katja Danielzik <katja.danielzik@uni-due.de> |
| Author | Katja 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>) |
| License | GPL (>= 3) |
| URL | https://github.com/KatjaDanielzik/MetaboDynamics |
| Bug Reports | https://github.com/KatjaDanielzik/MetaboDynamics/issues |
| System Requirements | GNU make |
| Downloads rank | 172 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, Clustering, FunctionalPrediction, KEGG, Metabolomics, MultipleComparison, Pathways, Software, TimeCourse |
Documentation
- MetaboDynamics: analyzing longitudinal metabolomics data with probabilistic models
- Using MetaboDynamics with data frames
Download
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)