Package: rsgcc
Type: Package
Title: Gini methodology-based correlation and clustering analysis of
        microarray and RNA-Seq gene expression data
Version: 1.0.6
Author: Chuang Ma, Xiangfeng Wang
Maintainer: Chuang Ma <chuangma2006@gmail.com>
URL: http://www.cmbb.arizona.edu/
Depends: R (>= 2.15.1), biwt, cairoDevice, fBasics, grDevices, gplots,
        gWidgets, gWidgetsRGtk2, minerva, parmigene, stringr, snowfall
Suggests: bigmemory, ctc
Description: This package provides functions for calculating
        associations between two genes with five correlation
        methods(e.g., 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], and three non-correlation
        methods (e.g., mutual information [MI] and the maximal
        information-based nonparametric exploration [MINE], and the
        euclidean distance [ED]). 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: 2013-06-12
Packaged: 2013-06-18 01:18:38 UTC; wanglab
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-06-18 07:40:43
Built: R 3.6.3; x86_64-pc-linux-gnu; 'Mon, 24 Feb 2020 11:48:37 +0100'; unix
