rsgcc: Gini methodology-based correlation and clustering analysis of microarray and RNA-Seq gene expression data
Version 1.0.6

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).

Package details

AuthorChuang Ma, Xiangfeng Wang
Date of publication2013-06-18 07:40:43
MaintainerChuang Ma <chuangma2006@gmail.com>
LicenseGPL (>= 2)
Version1.0.6
URL http://www.cmbb.arizona.edu/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rsgcc")

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rsgcc documentation built on May 30, 2017, 12:07 a.m.