[R-pkg-team] Bug#949452: ITP: r-cran-rsgcc -- Gini methodology-based correlation and clustering analysis of
Steffen Moeller
moeller at debian.org
Tue Jan 21 00:08:10 GMT 2020
Package: wnpp
Severity: wishlist
Subject: ITP: r-cran-rsgcc -- Gini methodology-based correlation and clustering analysis of
Package: wnpp
Owner: Steffen Moeller <moeller at debian.org>
Severity: wishlist
* Package name : r-cran-rsgcc
Version : 1.0.6
Upstream Author : Copyright: (FIXME: year)-2013 Chuang Ma, Xiangfeng Wang
* URL : https://cran.r-project.org/package=rsgcc
* License : GPL-2+
Programming Lang: GNU R
Description : Gini methodology-based correlation and clustering analysis of
microarray and RNA-Seq gene expression data
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).
Remark: This package is maintained by Debian R Packages Maintainers at
https://salsa.debian.org/r-pkg-team/r-cran-rsgcc
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