To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("netbenchmark")

In most cases, you don't need to download the package archive at all.

netbenchmark

Benchmarking of several gene network inference methods

Bioconductor version: Release (3.4)

This package implements a benchmarking of several gene network inference algorithms from gene expression data.

Author: Pau Bellot, Catharina Olsen, Patrick Meyer, with contributions from Alexandre Irrthum

Maintainer: Pau Bellot <pau.bellot at upc.edu>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("netbenchmark")

biocViews	GeneExpression, GraphAndNetwork, Microarray, Network, NetworkInference, Software
Version	1.6.0
In Bioconductor since	BioC 3.1 (R-3.2) (2 years)
License	CC BY-NC-SA 4.0
Depends	grndata(>= 0.99.3)
Imports	Rcpp (>= 0.11.0), minet, randomForest, c3net, PCIT, GeneNet, tools, pracma, Matrix, corpcor, fdrtool
LinkingTo	Rcpp
Suggests	RUnit, BiocGenerics, knitr, graph
SystemRequirements
Enhances
URL	https://imatge.upc.edu/netbenchmark/
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	netbenchmark_1.6.0.tar.gz
Windows Binary	netbenchmark_1.6.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	netbenchmark_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/netbenchmark/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/netbenchmark/
Package Downloads Report	Download Stats

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