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    <title>PyPI recent updates for SCNIC</title>
    <link>https://pypi.org/project/scnic/</link>
    <description>Recent updates to the Python Package Index for SCNIC</description>
    <language>en</language>    <item>
      <title>0.6.6</title>
      <link>https://pypi.org/project/scnic/0.6.6/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>lozuponelab.dev@olucdenver.onmicrosoft.com</author>      <pubDate>Thu, 05 Sep 2024 23:15:45 GMT</pubDate>
    </item>    <item>
      <title>0.6.4</title>
      <link>https://pypi.org/project/scnic/0.6.4/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>lozuponelab.dev@olucdenver.onmicrosoft.com</author>      <pubDate>Thu, 05 Sep 2024 23:13:08 GMT</pubDate>
    </item>    <item>
      <title>0.6.3</title>
      <link>https://pypi.org/project/scnic/0.6.3/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Thu, 22 Jul 2021 14:40:59 GMT</pubDate>
    </item>    <item>
      <title>0.6.2</title>
      <link>https://pypi.org/project/scnic/0.6.2/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Tue, 06 Oct 2020 22:24:02 GMT</pubDate>
    </item>    <item>
      <title>0.6.1</title>
      <link>https://pypi.org/project/scnic/0.6.1/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Wed, 13 Feb 2019 22:47:03 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/scnic/0.6.0/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Thu, 29 Nov 2018 18:56:49 GMT</pubDate>
    </item>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/scnic/0.5.2/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Wed, 29 Aug 2018 23:53:05 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/scnic/0.5.1/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Thu, 16 Aug 2018 09:44:01 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/scnic/0.5.0/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Wed, 30 May 2018 18:44:03 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/scnic/0.4.0/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Wed, 17 Jan 2018 20:13:40 GMT</pubDate>
    </item>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/scnic/0.3.3/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Fri, 22 Sep 2017 23:10:34 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/scnic/0.3.2/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Fri, 15 Sep 2017 20:16:57 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/scnic/0.3.1/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Fri, 15 Sep 2017 16:01:20 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/scnic/0.3.0/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Fri, 15 Sep 2017 00:05:16 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/scnic/0.2.1/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Fri, 24 Feb 2017 23:25:10 GMT</pubDate>
    </item>    <item>
      <title>0.2</title>
      <link>https://pypi.org/project/scnic/0.2/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Wed, 23 Nov 2016 20:05:29 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/scnic/0.1.1/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Sat, 03 Sep 2016 00:11:46 GMT</pubDate>
    </item>    <item>
      <title>0.1</title>
      <link>https://pypi.org/project/scnic/0.1/</link>
      <description>A tool for finding and summarizing modules of highly correlated observations in compositional data</description>
<author>michael.shaffer@ucdenver.edu</author>      <pubDate>Thu, 01 Sep 2016 17:16:02 GMT</pubDate>
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