Welcome to Matilda!
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Matilda is a multi-task framework for learning from single-cell multimodal omics data. It leverages the information from the multi-modality of such data and trains a neural network model to simultaneously learn multiple tasks including data simulation, dimension reduction, visualization, classification, and feature selection. 

If you find a model useful for your research, please consider citing it (publication_). 

.. _publication: https://academic.oup.com/nar/article/51/8/e45/7076464

.. toctree::
   :maxdepth: 2

   installation
   tutorial
   Guide
   Github <https://github.com/PYangLab/Matilda/tree/main>
   FD 

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