Single-Cell Analysis in Python.
Project description
|PyPI| |Docs| |Build Status|
.. |PyPI| image:: https://img.shields.io/pypi/v/scanpy.svg
:target: https://pypi-hypernode.com/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: 90px; margin: 3px 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 and differential expression testing. 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>`_.
.. |PyPI| image:: https://img.shields.io/pypi/v/scanpy.svg
:target: https://pypi-hypernode.com/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: 90px; margin: 3px 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 and differential expression testing. 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>`_.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scanpy-1.2.2.tar.gz
(203.0 kB
view details)
Built Distribution
scanpy-1.2.2-py3-none-any.whl
(212.1 kB
view details)
File details
Details for the file scanpy-1.2.2.tar.gz.
File metadata
- Download URL: scanpy-1.2.2.tar.gz
- Upload date:
- Size: 203.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5f8a50f0d9bd0f38afb34b5a79d8d99332349ec0f7e65b8cdb1ea8a26b5f67aa |
|
| MD5 | 327c1b725ba914f590da31f0e0389465 |
|
| BLAKE2b-256 | 2df31a51b286a02e3fb48e3659aa08449db853a0c2eff6becb4fdad80f79263c |
File details
Details for the file scanpy-1.2.2-py3-none-any.whl.
File metadata
- Download URL: scanpy-1.2.2-py3-none-any.whl
- Upload date:
- Size: 212.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.7.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0bf7f01f5a81cb2e900cc1a6854c19740b1a8de4c28781f5940cf3c0b86295c0 |
|
| MD5 | 7e1fc7f03b7cef1e66bfcf1be63d6542 |
|
| BLAKE2b-256 | 18b1c87736337630f0f990a77df7df1923de783dc2d5a89c756f57d660f81851 |
