difconet: Differential Coexpressed Networks

Estimation of DIFferential COexpressed NETworks using diverse and user metrics. This package is basically used for three functions related to the estimation of differential coexpression. First, to estimate differential coexpression where the coexpression is estimated, by default, by Spearman correlation. For this, a metric to compare two correlation distributions is needed. The package includes 6 metrics. Some of them needs a threshold. A new metric can also be specified as a user function with specific parameters (see difconet.run). The significance is be estimated by permutations. Second, to generate datasets with controlled differential correlation data. This is done by either adding noise, or adding specific correlation structure. Third, to show the results of differential correlation analyses. Please see <http://bioinformatica.mty.itesm.mx/difconet> for further information.

Version: 1.0-4
Depends: R (≥ 3.1.0), gplots
Imports: stats, utils, stringr, data.table, mvtnorm, graphics, grDevices
Published: 2017-05-31
Author: Elpidio-Emmanuel Gonzalez-Valbuena [aut], Victor Trevino [aut, cre]
Maintainer: Victor Trevino <vtrevino at itesm.mx>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://bioinformatica.mty.itesm.mx/difconet
NeedsCompilation: no
CRAN checks: difconet results


Reference manual: difconet.pdf
Package source: difconet_1.0-4.tar.gz
Windows binaries: r-devel: difconet_1.0-4.zip, r-release: difconet_1.0-4.zip, r-oldrel: difconet_1.0-4.zip
OS X El Capitan binaries: r-release: difconet_1.0-4.tgz
OS X Mavericks binaries: r-oldrel: difconet_1.0-4.tgz


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