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.
