:autogenerated:

pytoda package
==============

.. automodule:: pytoda
    :members: name
    :undoc-members:
    :show-inheritance:


    Submodules:

    .. toctree::
       :maxdepth: 1

       pytoda.data_splitter
       pytoda.files
       pytoda.transforms
       pytoda.types
       pytoda.warnings

    Subpackages:

    .. toctree::
       :maxdepth: 1

       pytoda.datasets
       pytoda.preprocessing
       pytoda.proteins
       pytoda.smiles
       pytoda.tests



    Summary
    -------



    Reference
    ---------
    If you use `pytoda` in your projects, please cite the following:

    .. code-block:: python
    
        @article{born2021paccmannrl,
            title = {PaccMann$^{RL}$: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning},
            journal = {iScience},
            volume = {24},
            number = {4},
            year = {2021},
            issn = {2589-0042},
            doi = {https://doi.org/10.1016/j.isci.2021.102269},
            url = {https://www.cell.com/iscience/fulltext/S2589-0042(21)00237-6},
            author = {Jannis Born and Matteo Manica and Ali Oskooei and Joris Cadow and Greta Markert and Mar{\'\i}a Rodr{\'\i}guez Mart{\'\i}nez}}
        }