metabom8
A High-Performance R Package for Metabolomics Modeling and Analysis
Bioconductor version: 3.24 · Package version: 1.1.7
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Tools for 1D NMR metabolomics workflows, including import and preprocessing of Bruker experiments, multivariate modeling (PCA, PLS, OPLS) and model analytics and validation (y-permutations, cv-anova). Performance-critical routines are implemented in C++ and use the Armadillo and Eigen linear algebra libraries to improve runtime.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("metabom8")Details
| Maintainer | Torben Kimhofer <tkimhofer@gmail.com> |
| Author | Torben Kimhofer [aut, cre] (ORCID: <https://orcid.org/0000-0001-7158-9930>) |
| License | MIT + file LICENSE |
| URL | https://tkimhofer.github.io/metabom8/ |
| Bug Reports | https://github.com/tkimhofer/metabom8/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Alignment, Cheminformatics, DataImport, Metabolomics, Preprocessing, Software, WorkflowStep |
| Package Short Url | https://bioconductor.org/packages/metabom8/ |
Citation
From within R, enter citation("metabom8"):
Torben Kimhofer. metabom8: A High-Performance R Package for Metabolomics Modeling and Analysis. doi:10.18129/B9.bioc.metabom8, R package version 1.1.7, https://bioconductor.org/packages/metabom8.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | metabom8_1.1.7.tar.gz |
| Windows binary (x86_64) | metabom8_1.1.7.zip |
| macOS binary (arm64) | metabom8_1.1.7.tgz |
| macOS binary (x86_64) | metabom8_1.1.7.tgz |
Dependencies
Depends: R (>= 4.5.0)
Imports: abind, colorRamps, ellipse, fs, ggplot2, ggrepel, graphics, methods, parallel, pcaMethods, plotly, pROC, progress, ptw, Rcpp (>= 1.0.4.6), reshape2, rlang, scales, signal, stats, utils
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: BiocStyle, dplyr, DT, ExperimentHub, htmlTable, knitr, rmarkdown, testthat