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    <title>PyPI recent updates for hto-dnd</title>
    <link>https://pypi.org/project/hto-dnd/</link>
    <description>Recent updates to the Python Package Index for hto-dnd</description>
    <language>en</language>    <item>
      <title>1.0.0a1</title>
      <link>https://pypi.org/project/hto-dnd/1.0.0a1/</link>
      <description>A method to demultiplex hashtagged single-cell data.</description>
<author>ibrahih3@mskcc.org</author>      <pubDate>Thu, 16 Jan 2025 17:04:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/hto-dnd/0.1.4/</link>
      <description>A method to demultiplex hashtagged single-cell data by first applying a denoising and normalizing step adapted from DSB (Denoised and Scaled by Background).</description>
<author>ibrahih3@mskcc.org, krauset@mskcc.org</author>      <pubDate>Thu, 05 Dec 2024 19:08:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/hto-dnd/0.1.3/</link>
      <description>A method to demultiplex hashtagged single-cell data by first applying a denoising and normalizing step adapted from DSB (Denoised and Scaled by Background).</description>
<author>ibrahih3@mskcc.org, krauset@mskcc.org</author>      <pubDate>Wed, 04 Dec 2024 16:48:37 GMT</pubDate>
    </item>    <item>
      <title>0.1.2a0</title>
      <link>https://pypi.org/project/hto-dnd/0.1.2a0/</link>
      <description>A method to demultiplex hashtagged single-cell data by first applying a denoising and normalizing step adapted from DSB (Denoised and Scaled by Background).</description>
<author>ibrahih3@mskcc.org, krauset@mskcc.org</author>      <pubDate>Mon, 02 Dec 2024 19:20:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.1a0</title>
      <link>https://pypi.org/project/hto-dnd/0.1.1a0/</link>
      <description>A method to demultiplex hashtagged single-cell data by first applying a denoising and normalizing step adapted from DSB (Denoised and Scaled by Background).</description>
<author>ibrahih3@mskcc.org, krauset@mskcc.org</author>      <pubDate>Wed, 27 Nov 2024 17:16:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/hto-dnd/0.1.0/</link>
      <description>A method to demultiplex hashtagged single-cell data by first applying a denoising and normalizing step adapted from DSB (Denoised and Scaled by Background).</description>
<author>ibrahih3@mskcc.org, krauset@mskcc.org</author>      <pubDate>Tue, 26 Nov 2024 21:41:05 GMT</pubDate>
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