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netboost

This is the released version of netboost; for the devel version, see netboost.

All versions 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

Network Analysis Supported by Boosting


Bioconductor version: Release (3.23)

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] ORCID iD ORCID: 0000-0002-8460-0462 , Jochen Knaus [aut, ctb], Yaniv Loewenstein [aut]

Maintainer: Pascal Schlosser <pascal.schlosser at uniklinik-freiburg.de>

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

Pascal Schlosser, Jochen Knaus, Yaniv Loewenstein. netboost: Network Analysis Supported by Boosting. doi:10.18129/B9.bioc.netboost, R package version 2.20.0, https://bioconductor.org/packages/netboost.

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")

BiocManager::install("netboost")

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

Documentation

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

browseVignettes("netboost")
The Netboost users guide HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews BiomedicalInformatics, Clustering, DimensionReduction, Epigenetics, GraphAndNetwork, Metabolomics, Network, Software, StatisticalMethod, Transcriptomics
Version2.20.0
In Bioconductor sinceBioC 3.9 (R-3.6) (7.5 years)
License GPL-3
Depends R (>= 4.0.0)
Imports Rcpp, RcppParallel, parallel, grDevices, graphics, stats, utils, dynamicTreeCut, WGCNA, impute, colorspace, methods, R.utils
System RequirementsGNU make, Bash, Perl, Gzip
URLhttps://bioconductor.org/packages/release/bioc/html/netboost.html
Bug Reportsmailto:pascal.schlosser@uniklinik-freiburg.de
See More
Suggests knitr, rmarkdown, BiocStyle
Linking To Rcpp, RcppParallel
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package netboost_2.20.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) netboost_2.20.0.tgz
macOS Binary (sonoma-arm64) netboost_2.20.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/netboost
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/netboost
Package Short Url https://bioconductor.org/packages/netboost/
Package Downloads ReportDownload Stats