Mosna 0.1.0 Documentation
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Mosna is a Python library designed for the analysis of spatial omics data in combination with clinical or biological metadata.  
It enables researchers to explore cellular interactions, tissue organization, and predictive biomarkers through an intuitive pipeline.

The scientific article describing Mosna can be found here:  
`Mosna: Analysis of spatial omics data <https://pmc.ncbi.nlm.nih.gov/articles/PMC10055099/>`_

Some insightful examples are provided in the GitHub repository:  
`Mosna examples on GitHub <https://github.com/AlexCoul/mosna/tree/main/examples>`_

Additional explanation on how to implement Mosna can be found here:  
`Implementation guide <https://mosna-documentation.readthedocs.io/en/latest/how_to_guides.html>`_

Furthermore, some background on concepts such as assortativity, which mosna uses to quantify preferential interactions
between cell types can be found here:
`Theoretical concepts <https://mosna-documentation.readthedocs.io/en/latest/theoretical_concepts.html>`_




.. note::

   This project is under active development.

Contents
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.. toctree::

   mosna_at_a_glance
   getting_started
   theoretical_concepts
   how_to_guides
   api