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Scanpy – Single-Cell Analysis in Python
=======================================

.. raw:: html

<p>
<img src="http://falexwolf.de/img/tsne_1.3M.png" style="width: 100px; margin: 10px 10px 5px 5px" align="left">
Scanpy is a scalable toolkit for analyzing single-cell gene expression
data. It includes preprocessing, visualization, clustering, pseudotime and
trajectory inference, differential expression testing and simulation of gene
regulatory networks. The Python-based implementation efficiently deals with
datasets of more than one million cells.
</p>

Read the `documentation <https://scanpy.readthedocs.io>`_.
If Scanpy is useful for your research, consider citing `Genome Biology (2018) <https://doi.org/10.1186/s13059-017-1382-0>`_.

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  • Released:
Newer release available (1.12.4)

Owner

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Credits

Author: Alex Wolf, Philipp Angerer, Davide Cittaro, Gokcen Eraslan, Tobias Callies

License

BSD

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Source distribution for scanpy 1.0.2
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