References
=============


.. [Paszke19] Paszke *et al.* (2019),
   *PyTorch: An imperative style, high-performance deep learning library*,
   `Advances in Neural Information Processing Systems <https://papers.nips.cc/paper/2019/hash/bdbca288fee7f92f2bfa9f7012727740-Abstract.html>`__.

.. [Pedregosa11] Pedregosa (2011),
   *Scikit-learn: Machine learning in Python*,
   `J. Mach. Learn. Res. <https://dl.acm.org/doi/10.5555/1953048.2078195>`__.

.. [Wolf18] Wolf *et al.* (2018),
   *SCANPY: Large-scale single-cell gene expression data analysis.*,
   `Genome Biol <https://doi.org/10.1186/s13059-017-1382-0>`__.