DOI: 10.18129/B9.bioc.netboost  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see netboost.

Network Analysis Supported by Boosting

Bioconductor version: 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")):


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biocViews BiomedicalInformatics, Clustering, DimensionReduction, Epigenetics, GraphAndNetwork, Metabolomics, Network, Software, StatisticalMethod, Transcriptomics
Version 2.8.0
In Bioconductor since BioC 3.9 (R-3.6) (4.5 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
LinkingTo Rcpp, RcppParallel
Suggests knitr, markdown, rmarkdown
SystemRequirements GNU make, Bash, Perl, Gzip
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