This is the development version of netboost; for the stable release version, see netboost.
Network Analysis Supported by BoostingBioconductor version: Development (3.22)
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 uniklinik-freiburg.de>
Citation (from within R, entercitation("netboost")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("netboost")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("netboost")
Details biocViews BiomedicalInformatics, Clustering, DimensionReduction, Epigenetics, GraphAndNetwork, Metabolomics, Network, Software, StatisticalMethod, Transcriptomics Version 2.17.0 In Bioconductor since BioC 3.9 (R-3.6) (6 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 URL https://bioconductor.org/packages/release/bioc/html/netboost.html Bug Reports pascal.schlosser@uniklinik-freiburg.de See More Package Archives
Follow Installation instructions to use this package in your R session.
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