Metadata-Version: 2.1
Name: astir
Version: 0.0.10
Summary: 
Home-page: https://github.com/camlab-bioml/astir
Author: Jinyu Hou, Sunyun Lee, Michael Geuenich, Kieran Campbell
Author-email: jhou@lunenfeld.ca
License: GPLv2
Project-URL: Documentation, https://astir.readthedocs.io/en/latest/
Project-URL: Source Code, https://github.com/camlab-bioml
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
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========================================
astir - Automated single-cell pathology
========================================

|Build Status| |PyPI| |Code Style|

.. |Build Status| image:: https://img.shields.io/badge/CI%20(pip)-passing-dark%20green
    :target: https://docs.travis-ci.com/
.. |Code Style| image:: https://img.shields.io/badge/code%20style-black-black
    :target: https://github.com/python/black
.. |PyPI| image:: https://img.shields.io/badge/pypi-v2.1-orange
    :target: https://pypi.org/project/pypi/


``astir`` is a modelling framework for the assignment of cell type and cell state across a range of single-cell technologies such as Imaging Mass Cytometry (IMC). ``astir`` is built using `pytorch <https://pytorch.org/>`_ and uses recognition networks for fast minibatch stochastic variational inference. 

.. image:: https://www.camlab.ca/img/astir.png
    :align: center
    :alt: automated single-cell pathology

Getting started
---------------------

See the full `documentation <https://astir.readthedocs.io/en/latest>`_ and check out the `tutorials <https://astir.readthedocs.io/en/latest/tutorials/index.html>`_.


Authors
---------------------

| Jinyu Hou, Sunyun Lee, Michael Geuenich, Kieran Campbell
| Lunenfeld-Tanenbaum Research Institute & University of Toronto


