Skip to content

Return to image directive #234

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 10, 2018
Merged

Return to image directive #234

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
23 changes: 12 additions & 11 deletions README.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,16 +13,17 @@
Scanpy – Single-Cell Analysis in Python
=======================================

.. raw:: html
.. image:: http://falexwolf.de/img/tsne_1.3M.png
:width: 90px
:align: left

<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>
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.

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>`__.
Read the documentation_.
If Scanpy is useful for your research, consider citing `Genome Biology (2018)`_.

.. _documentation: https://scanpy.readthedocs.io
.. _Genome Biology (2018): https://doi.org/10.1186/s13059-017-1382-0