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    <title>PyPI recent updates for cnvturbo</title>
    <link>https://pypi.org/project/cnvturbo/</link>
    <description>Recent updates to the Python Package Index for cnvturbo</description>
    <language>en</language>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/cnvturbo/0.3.0/</link>
      <description>cnvturbo: A high-performance scRNA-seq CNV inference toolkit with R inferCNV-compatible HMM i6 cell-level tumor calling. The R-exact main pipeline runs on CPU + joblib (100-200x faster than R inferCNV); optional Numba/PyTorch CUDA back-ends accelerate the legacy infercnv + hmm_call_cells paths. Fully compatible with Scanpy/AnnData.</description>
      <pubDate>Sun, 26 Apr 2026 03:37:11 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/cnvturbo/0.2.1/</link>
      <description>cnvturbo: GPU/Numba-accelerated scRNA-seq CNV inference with HMM i6 cell-level tumor calling and R inferCNV-compatible raw-count pipeline. Fully compatible with Scanpy/AnnData. 10-100x faster than alternatives.</description>
      <pubDate>Sat, 25 Apr 2026 06:41:49 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/cnvturbo/0.2.0/</link>
      <description>cnvturbo: GPU/Numba-accelerated scRNA-seq CNV inference with HMM i6 cell-level tumor calling and R inferCNV-compatible raw-count pipeline. Fully compatible with Scanpy/AnnData. 10-100x faster than alternatives.</description>
      <pubDate>Sat, 25 Apr 2026 05:39:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/cnvturbo/0.1.0/</link>
      <description>cnvturbo: GPU/Numba-accelerated scRNA-seq CNV inference with HMM i6 cell-level tumor calling and R inferCNV-compatible raw-count pipeline. Fully compatible with Scanpy/AnnData. 10-100x faster than alternatives.</description>
      <pubDate>Fri, 24 Apr 2026 17:17:28 GMT</pubDate>
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