source("http://bioconductor.org/biocLite.R")
biocLite("BiRewire")

BiRewire

High-performing routines for the randomization of a bipartite graph (or a binary event matrix) preserving degree distribution (or marginal totals).

Bioconductor version: 2.13

Fast functions for bipartite network rewiring through N consecutive switching steps (See References) and for the computation of the minimal number of switching steps to be performed in order to maximise the dissimilarity with respect to the original network. Includes function for the analysis of the introduced randomness across the switching and several other routines to analyse the resulting networks and their natural projections. Extension to undirected networks (not bipartite) is also provided.

Author: Andrea Gobbi [aut], Davide Albanese [cbt], Francesco Iorio [cbt], Giuseppe Jurman [cbt], Julio Saez-Rodriguez [cbt] .

Maintainer: Andrea Gobbi <gobbi.andrea at mail.com>

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("BiRewire")

Documentation

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

browseVignettes("BiRewire")

 

PDF	R Script	BiRewire
PDF		Reference Manual

Details

biocViews	Software
Version	1.2.2
In Bioconductor since	BioC 2.13 (R-3.0)
License	GPL-3
Depends	igraph
Imports
Suggests	RUnit, BiocGenerics
System Requirements
URL	http://www.ebi.ac.uk/~iorio/BiRewire
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source	BiRewire_1.2.2.tar.gz
Windows Binary	BiRewire_1.2.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	BiRewire_1.2.2.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats