Your message dated Thu, 22 Aug 2019 10:01:08 +0000
with message-id <e1i0ju0-000gzc...@fasolo.debian.org>
and subject line Bug#935157: fixed in r-bioc-qusage 2.18.0-1
has caused the Debian Bug report #935157,
regarding ITP: r-bioc-qusage -- qusage: Quantitative Set Analysis for Gene
Expression
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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--
935157: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=935157
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Package: wnpp
Severity: wishlist
Subject: ITP: r-bioc-qusage -- qusage: Quantitative Set Analysis for Gene
Expression
Package: wnpp
Owner: Steffen Moeller <moel...@debian.org>
Severity: wishlist
* Package name : r-bioc-qusage
Version : 2.18.0
Upstream Author : Christopher Bolen <cbol...@gmail.com>
* URL : https://bioconductor.org/packages/qusage/
* License : GPL-2+
Programming Lang: GNU R
Description : qusage: Quantitative Set Analysis for Gene Expression
This package is an implementation the Quantitative Set
Analysis for Gene Expression (QuSAGE) method described in
(Yaari G. et al, Nucl Acids Res, 2013). This is a novel Gene
Set Enrichment-type test, which is designed to provide a
faster, more accurate, and easier to understand test for gene
expression studies. qusage accounts for inter-gene correlations
using the Variance Inflation Factor technique proposed by Wu et
al. (Nucleic Acids Res, 2012). In addition, rather than simply
evaluating the deviation from a null hypothesis with a single
number (a P value), qusage quantifies gene set activity with a
complete probability density function (PDF). From this PDF, P
values and confidence intervals can be easily extracted.
Preserving the PDF also allows for post-hoc analysis (e.g.,
pair-wise comparisons of gene set activity) while maintaining
statistical traceability. Finally, while qusage is compatible
with individual gene statistics from existing methods (e.g.,
LIMMA), a Welch-based method is implemented that is shown to
improve specificity. For questions, contact Chris Bolen
(cbol...@gmail.com) or Steven Kleinstein
(steven.kleinst...@yale.edu)
Remark: This package is maintained by Debian R Packages Maintainers at
https://salsa.debian.org/r-pkg-team/r-bioc-qusage
--- End Message ---
--- Begin Message ---
Source: r-bioc-qusage
Source-Version: 2.18.0-1
We believe that the bug you reported is fixed in the latest version of
r-bioc-qusage, 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 935...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Steffen Moeller <moel...@debian.org> (supplier of updated r-bioc-qusage 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 ftpmas...@ftp-master.debian.org)
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA256
Format: 1.8
Date: Tue, 20 Aug 2019 10:50:52 +0200
Source: r-bioc-qusage
Binary: r-bioc-qusage
Architecture: source all
Version: 2.18.0-1
Distribution: unstable
Urgency: medium
Maintainer: Debian R Packages Maintainers <r-pkg-t...@alioth-lists.debian.net>
Changed-By: Steffen Moeller <moel...@debian.org>
Description:
r-bioc-qusage - qusage: Quantitative Set Analysis for Gene Expression
Closes: 935157
Changes:
r-bioc-qusage (2.18.0-1) unstable; urgency=medium
.
* Initial release (closes: #935157)
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