netbenchmark

DOI: 10.18129/B9.bioc.netbenchmark    

Benchmarking of several gene network inference methods

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

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

Documentation

HTML	R Script	Netbenchmark
PDF		Reference Manual
Text		NEWS

Details

biocViews	GeneExpression, GraphAndNetwork, Microarray, Network, NetworkInference, Software
Version	1.10.0
In Bioconductor since	BioC 3.1 (R-3.2) (3 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

Package Archives

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

Source Package	netbenchmark_1.10.0.tar.gz
Windows Binary	netbenchmark_1.10.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	netbenchmark_1.10.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/netbenchmark
Package Short Url	http://bioconductor.org/packages/netbenchmark/
Package Downloads Report	Download Stats