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.


Reference manual

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1.0-4 by Victor Trevino, 2 years ago


Browse source code at https://github.com/cran/difconet

Authors: Elpidio-Emmanuel Gonzalez-Valbuena [aut] , Victor Trevino [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, utils, stringr, data.table, mvtnorm, graphics, grDevices

Depends on gplots

See at CRAN