rsgcc : Gini methodology-based correlation and clustering analysis of microarray and RNA-Seq gene expression data

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