Metadata-Version: 1.2
Name: astir
Version: 0.1.4
Summary:  
Home-page: https://github.com/camlab-bioml/astir
Author: Jinyu Hou, Sunyun Lee, Michael Geuenich, Kieran Campbell
Author-email: kierancampbell@lunenfeld.ca
License: GPLv2
Project-URL: Documentation, https://astir.readthedocs.io/en/latest/
Project-URL: Source Code, https://github.com/camlab-bioml/astir
Description: ===================================================================================
        astir - Automated cell identity from single-cell multiplexed imaging and proteomics
        ===================================================================================
        
        |Build Status| |PyPI| |Code Style|
        
        .. |Build Status| image:: https://travis-ci.com/camlab-bioml/astir.svg?branch=master
            :target: https://travis-ci.org/camlab-bioml/astir
        .. |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 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. 
        
        Key applications:
        
        - Automated assignment of cell type and state from highly multiplexed imaging and proteomic data
        - Diagnostic measures to check quality of resulting type and state inferences
        - Ability to map new data to cell types and states trained on existing data using recognition neural networks
        - A range of plotting and data loading utilities
        
        
        .. 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>`_.
        
        An interactive vignette can be found as a Google colab notebook as part of the following repository.
        
        https://github.com/camlab-bioml/Astir-Vignette
        
        
        Authors
        ---------------------
        
        | Jinyu Hou, Sunyun Lee, Michael Geuenich, Kieran Campbell
        | Lunenfeld-Tanenbaum Research Institute & University of Toronto
        
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
