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This is the development version of netboost; for the stable release version, see netboost.

Network Analysis Supported by Boosting

Bioconductor version: Development (3.20)

Boosting supported network analysis for high-dimensional omics applications. This package comes bundled with the MC-UPGMA clustering package by Yaniv Loewenstein.

Author: Pascal Schlosser [aut, cre], Jochen Knaus [aut, ctb], Yaniv Loewenstein [aut]

Maintainer: Pascal Schlosser <pascal.schlosser at>

Citation (from within R, enter citation("netboost")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

The Netboost users guide HTML R Script
Reference Manual PDF


biocViews BiomedicalInformatics, Clustering, DimensionReduction, Epigenetics, GraphAndNetwork, Metabolomics, Network, Software, StatisticalMethod, Transcriptomics
Version 2.13.1
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License GPL-3
Depends R (>= 4.0.0)
Imports Rcpp, RcppParallel, parallel, grDevices, graphics, stats, utils, dynamicTreeCut, WGCNA, impute, colorspace, methods, BiocStyle, R.utils
System Requirements GNU make, Bash, Perl, Gzip
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Suggests knitr, rmarkdown
Linking To Rcpp, RcppParallel
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Follow Installation instructions to use this package in your R session.

Source Package netboost_2.13.1.tar.gz
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macOS Binary (x86_64) netboost_2.13.1.tgz
macOS Binary (arm64) netboost_2.13.1.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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