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Bug#949452: marked as done (ITP: r-cran-rsgcc -- Gini methodology-based correlation and clustering analysis of)



Your message dated Mon, 03 Feb 2020 02:11:11 +0000
with message-id <E1iyRCh-000H8F-Vw@fasolo.debian.org>
and subject line Bug#949452: fixed in r-cran-rsgcc 1.0.6-1
has caused the Debian Bug report #949452,
regarding ITP: r-cran-rsgcc -- Gini methodology-based correlation and clustering analysis of
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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-- 
949452: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=949452
Debian Bug Tracking System
Contact owner@bugs.debian.org with problems
--- Begin Message ---
Package: wnpp
Severity: wishlist

Subject: ITP: r-cran-rsgcc -- Gini methodology-based correlation and clustering analysis of
Package: wnpp
Owner: Steffen Moeller <moeller@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

--- End Message ---
--- Begin Message ---
Source: r-cran-rsgcc
Source-Version: 1.0.6-1

We believe that the bug you reported is fixed in the latest version of
r-cran-rsgcc, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 949452@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Steffen Moeller <moeller@debian.org> (supplier of updated r-cran-rsgcc package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmaster@ftp-master.debian.org)


-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA256

Format: 1.8
Date: Tue, 21 Jan 2020 00:52:07 +0100
Source: r-cran-rsgcc
Binary: r-cran-rsgcc r-cran-rsgcc-dbgsym
Architecture: source amd64
Version: 1.0.6-1
Distribution: unstable
Urgency: medium
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Changed-By: Steffen Moeller <moeller@debian.org>
Description:
 r-cran-rsgcc - Gini correlation and clustering of gene expression data
Closes: 949452
Changes:
 r-cran-rsgcc (1.0.6-1) unstable; urgency=medium
 .
   * Initial release (closes: #949452)
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--- End Message ---

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