MetNet
This is the development version of MetNet; for the stable release version, see MetNet.
All Bioconductor versions of MetNet
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8
Inferring metabolic networks from untargeted high-resolution mass spectrometry data
Bioconductor version: 3.24 · Package version: 1.31.0
MetNet contains functionality to infer metabolic network topologies from quantitative data and high-resolution mass/charge information. Using statistical models (including correlation, mutual information, regression and Bayes statistics) and quantitative data (intensity values of features) adjacency matrices are inferred that can be combined to a consensus matrix. Mass differences calculated between mass/charge values of features will be matched against a data frame of supplied mass/charge differences referring to transformations of enzymatic activities. In a third step, the two levels of information are combined to form a adjacency matrix inferred from both quantitative and structure information.
Author: Thomas Naake [aut, cre], Liesa Salzer [ctb], Elva Maria Novoa-del-Toro [ctb] 
Maintainer: Thomas Naake <thomasnaake at googlemail.com>
Citation
From within R, enter citation("MetNet"):
Thomas Naake. MetNet: Inferring metabolic networks from untargeted high-resolution mass spectrometry data. doi:10.18129/B9.bioc.MetNet, R package version 1.31.0, https://bioconductor.org/packages/MetNet.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("MetNet")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.31.0 |
| License | GPL (>= 3) |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.8 (R-3.5) (7 years) |
| Downloads rank | 735 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | ImmunoOncology, MassSpectrometry, Metabolomics, Network, Regression, Software |
| Package Short Url | https://bioconductor.org/packages/MetNet/ |
Documentation
| Reference Manual | |
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | MetNet_1.31.0.tar.gz |
| Windows binary (x86_64) | MetNet_1.31.0.zip |
| macOS binary (arm64) | MetNet_1.31.0.tgz |
| macOS binary (x86_64) | MetNet_1.31.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MetNet |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MetNet |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.1), S4Vectors (>= 0.28.1), SummarizedExperiment (>= 1.20.0)
Imports: bnlearn (>= 4.3), BiocParallel (>= 1.12.0), corpcor (>= 1.6.10), dplyr (>= 1.0.3), ggplot2 (>= 3.3.3), GeneNet (>= 1.2.15), GENIE3 (>= 1.7.0), methods (>= 4.1), parmigene (>= 1.0.2), psych (>= 2.1.6), rlang (>= 0.4.10), stabs (>= 0.6), stats (>= 4.1), tibble (>= 3.0.5), tidyr (>= 1.1.2)
Suggests: BiocGenerics (>= 0.24.0), BiocStyle (>= 2.6.1), glmnet (>= 4.1-1), igraph (>= 1.1.2), knitr (>= 1.11), rmarkdown (>= 1.15), testthat (>= 2.2.1), Spectra (>= 1.4.1), MsCoreUtils (>= 1.6.0)