Package: rsgcc
Type: Package
Title: Gini methodology-based correlation and clustering analysis of
        microarray and RNA-Seq gene expression data
Version: 1.0.4
Author: Chuang Ma, Xiangfeng Wang
Maintainer: Chuang Ma <chuangma2006@gmail.com>
Depends: R (>= 2.15.1), biwt, cairoDevice, fBasics, grDevices, gplots,
        gWidgets, gWidgetsRGtk2, parmigene, stringr, snowfall
Suggests: ctc
Description: This package provides functions for calculating
        associations between two genes with the mutual information (MI)
        method and several correlation methods, including the Gini
        correlation coefficient (GCC), the Pearson's product moment
        correlation coefficient (PCC), the Kendall tau rank correlation
        coefficient (KCC), the Spearman's rank correlation coefficient
        (SCC) and the Tukey's biweight correlation coefficient (BiWt).
        It can also been implemented to perform the correlation and
        clustering analysis of transcriptomic data profiled by
        microarray and RNA-Seq technologies. Additionally, this package
        can be further applied to construct gene co-expression networks
        (GCNs).
LazyLoad: yes
License: GPL (>= 2)
Date: 2012-09-21
Packaged: 2012-09-22 06:40:16 UTC; wanglab
Repository: CRAN
Date/Publication: 2012-09-22 06:43:40
