|
This package is for version 3.0 of Bioconductor;
for the stable, up-to-date release version, see
BiRewire.
High-performing routines for the randomization of a bipartite graph (or a binary event matrix) preserving degree distribution (or marginal totals).
Bioconductor version: 3.0
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>
Citation (from within R,
enter citation("BiRewire")
):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://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")
Details
Package Archives
Follow
Installation instructions to use this
package in your R session.
Read more here: Source link