Single-Cell Analysis in Python.

Navigation

Verified details

These details have been verified by PyPI
Owner
Maintainers
Avatar for falexwolf from gravatar.com falexwolf Avatar for ivirshup from gravatar.com ivirshup

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

|PyPI| |Docs| |Build Status|

.. |PyPI| image:: https://img.shields.io/pypi/v/scanpy.svg
:target: https://pypi.org/project/scanpy
.. |Docs| image:: https://readthedocs.org/projects/scanpy/badge/?version=latest
:target: https://scanpy.readthedocs.io
.. |Build Status| image:: https://travis-ci.org/theislab/scanpy.svg?branch=master
:target: https://travis-ci.org/theislab/scanpy
..
.. |Coverage| image:: https://codecov.io/gh/theislab/scanpy/branch/master/graph/badge.svg
:target: https://codecov.io/gh/theislab/scanpy

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>`_.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page