PyWGCNA: A python package for weighted gene co-expression network analysis
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PyWGCNA is a Python library designed to do Weighted correlation network analysis (WGCNA)
can be used for finding clusters (modules) of highly correlated genes, for summarizing
such clusters using the module eigengene for relating modules to one another and
to external sample traits (using eigengene network methodology), and for calculating
module membership measures. Users can also compare WGCNA from different datasets
including single cell gene markers.

.. image:: PyWGCNA_overview.png
   :width: 600

You can find GitHub pages `here <https://github.com/mortazavilab/PyWGCNA>`_.

.. toctree::
   :maxdepth: 2

   installation
   tutorials
   suggested_reading
   cite
   api


Indices and tables
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* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`