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    <title>PyPI recent updates for pymagical</title>
    <link>https://pypi.org/project/pymagical/</link>
    <description>Recent updates to the Python Package Index for pymagical</description>
    <language>en</language>    <item>
      <title>1.4.0</title>
      <link>https://pypi.org/project/pymagical/1.4.0/</link>
      <description>A Python port of the MAGICAL hierarchical Bayesian Gibbs sampler for regulatory circuit inference.</description>
<author>cs9095@princeton.edu</author>      <pubDate>Tue, 17 Mar 2026 19:53:55 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/pymagical/1.3.0/</link>
      <description>A Python port of the MAGICAL hierarchical Bayesian Gibbs sampler for regulatory circuit inference.</description>
<author>cs9095@princeton.edu</author>      <pubDate>Fri, 06 Mar 2026 00:06:34 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/pymagical/1.2.0/</link>
      <description>A Python port of the MAGICAL hierarchical Bayesian Gibbs sampler for regulatory circuit inference.</description>
<author>cs9095@princeton.edu</author>      <pubDate>Wed, 04 Mar 2026 16:21:31 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/pymagical/1.1.0/</link>
      <description>A Python port of the MAGICAL hierarchical Bayesian Gibbs sampler for regulatory circuit inference.</description>
<author>cs9095@princeton.edu</author>      <pubDate>Fri, 27 Feb 2026 22:17:03 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/pymagical/1.0.3/</link>
      <description>A Python port of the MAGICAL hierarchical Bayesian Gibbs sampler for regulatory circuit inference.</description>
<author>cs9095@princeton.edu</author>      <pubDate>Fri, 27 Feb 2026 21:04:29 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/pymagical/1.0.2/</link>
      <description>None</description>
      <pubDate>Fri, 27 Feb 2026 20:58:51 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/pymagical/0.1.0/</link>
      <description>A Python port of the MAGICAL hierarchical Bayesian Gibbs sampler for regulatory circuit inference.</description>
<author>cs9095@princeton.edu</author>      <pubDate>Fri, 27 Feb 2026 20:15:01 GMT</pubDate>
    </item>  </channel>
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