DOI: 10.18129/B9.bioc.netboost    

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

Network Analysis Supported by Boosting

Bioconductor version: Development (3.17)

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 "4.3") 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.


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biocViews BiomedicalInformatics, Clustering, DimensionReduction, Epigenetics, GraphAndNetwork, Metabolomics, Network, Software, StatisticalMethod, Transcriptomics
Version 2.7.0
In Bioconductor since BioC 3.9 (R-3.6) (3.5 years)
License GPL-3
Depends R (>= 4.0.0)
Imports Rcpp, RcppParallel, parallel, grDevices, graphics, stats, utils, dynamicTreeCut, WGCNA, impute, colorspace, methods, R.utils
LinkingTo Rcpp, RcppParallel
Suggests knitr, markdown, rmarkdown
SystemRequirements GNU make, Bash, Perl, Gzip
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