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sobolev\_alignment
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==================
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.. currentmodule:: sobolev_alignment
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.. automodule:: sobolev_alignment

docs/build/._index.html

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 76991b10e5a774d3897b1866a63b601e
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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<!doctype html>
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<html lang="en">
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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name="generator"
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/>
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<title>sobolev_alignment &#8212; Sobolev Alignment</title>
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content="width=device-width, initial-scale=0.9, maximum-scale=0.9"
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<div class="document">
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<section id="module-sobolev_alignment">
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<span id="sobolev-alignment"></span>
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<h1>
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sobolev_alignment<a
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class="headerlink"
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href="#module-sobolev_alignment"
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title="Permalink to this heading"
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>
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<a href="../index.html">Sobolev Alignment</a>
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</h1>
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<h3>Navigation</h3>
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<p class="caption" role="heading">
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<span class="caption-text">Contents:</span>
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</p>
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<ul>
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<li class="toctree-l1">
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<a
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class="reference internal"
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href="../content/modules.html"
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>sobolev_alignment</a
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>
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</li>
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<li class="toctree-l1">
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<a
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class="reference internal"
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href="../content/sobolev_alignment.html"
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>sobolev_alignment package</a
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>
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</li>
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</ul>
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<h3>Related Topics</h3>
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<a href="../index.html"
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>Documentation overview</a
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>
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docs/build/_images/workflow.png

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sobolev\_alignment
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==================
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.. currentmodule:: sobolev_alignment
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.. automodule:: sobolev_alignment

docs/build/_sources/conf.rst.txt

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conf module
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===========
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.. automodule:: conf
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev_alignment
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=================
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.. toctree::
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:maxdepth: 4
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setup module
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============
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.. automodule:: setup
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:members:
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:undoc-members:
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sobolev\_alignment package
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==========================
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Submodules
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----------
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sobolev\_alignment.SobolevAlignment module
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------------------------------------------
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.. automodule:: sobolev_alignment.SobolevAlignment
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev\_alignment.feature\_analysis module
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-------------------------------------------
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.. automodule:: sobolev_alignment.feature_analysis
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev\_alignment.generate\_artificial\_sample module
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------------------------------------------------------
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.. automodule:: sobolev_alignment.generate_artificial_sample
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev\_alignment.interpolated\_features module
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------------------------------------------------
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.. automodule:: sobolev_alignment.interpolated_features
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev\_alignment.kernel\_operations module
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--------------------------------------------
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.. automodule:: sobolev_alignment.kernel_operations
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev\_alignment.krr\_approx module
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-------------------------------------
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.. automodule:: sobolev_alignment.krr_approx
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev\_alignment.krr\_model\_selection module
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-----------------------------------------------
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.. automodule:: sobolev_alignment.krr_model_selection
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev\_alignment.multi\_krr\_approx module
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--------------------------------------------
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.. automodule:: sobolev_alignment.multi_krr_approx
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:members:
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:undoc-members:
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:show-inheritance:
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sobolev\_alignment.scvi\_model\_search module
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---------------------------------------------
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.. automodule:: sobolev_alignment.scvi_model_search
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:members:
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:undoc-members:
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:show-inheritance:
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Module contents
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---------------
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.. automodule:: sobolev_alignment
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:members:
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:undoc-members:
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:show-inheritance:

docs/build/_sources/index.rst.txt

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Sobolev Alignment: aligning deep general models with large-scale kernel machines
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=================================================================================
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.. image:: ../workflow.png
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:width: 600px
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:align: center
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Sobolev Alignment identifies commonalities between cell lines and tumors at the single cell level using Sobolev Alignment of deep generative models. Using scVI as a backbone for generative models (VAE), latent variable models are approximated by means of large-scale kernel machines, using FalkonML. This allows a systematic appro
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.. toctree::
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:maxdepth: 3
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:caption: Contents:
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content/modules
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content/sobolev_alignment
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Indices and tables
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==================
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* :ref:`genindex`
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* :ref:`modindex`
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* :ref:`search`

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