rsgcc (1.0.5)

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

http://www.cmbb.arizona.edu/
http://cran.r-project.org/web/packages/rsgcc

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).

Maintainer: Chuang Ma
Author(s): Chuang Ma, Xiangfeng Wang

License: GPL (>= 2)

Uses: bigmemory, biwt, cairoDevice, fBasics, gplots, gWidgets, gWidgetsRGtk2, minerva, parmigene, snowfall, stringr
Reverse depends: mlDNA

Released over 6 years ago.