[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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