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and proteomics\n===================================================================================\n\n|Build Status| |PyPI| |Code Style|\n\n.. |Build Status| image:: https://travis-ci.com/camlab-bioml/astir.svg?branch=master\n    :target: https://travis-ci.org/camlab-bioml/astir\n.. |Code Style| image:: https://img.shields.io/badge/code%20style-black-black\n    :target: https://github.com/python/black\n.. |PyPI| image:: https://img.shields.io/badge/pypi-v2.1-orange\n    :target: https://pypi.org/project/pypi/\n\n\n``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 \u003chttps://pytorch.org/\u003e`_ and uses recognition networks for fast minibatch stochastic variational inference. \n\nKey applications:\n\n- Automated assignment of cell type and state from highly multiplexed imaging and proteomic data\n- Diagnostic measures to check quality of resulting type and state inferences\n- Ability to map new data to cell types and states trained on existing data using recognition neural networks\n- A range of plotting and data loading utilities\n\n\n.. image:: https://www.camlab.ca/img/astir.png\n    :align: center\n    :alt: automated single-cell pathology\n\nGetting started\n---------------------\n\nLaunch the interactive tutorial: |in collab| |on github|  \n\n.. |in collab| image:: https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667\n    :target: https://colab.research.google.com/github/camlab-bioml/Astir-Vignette/blob/main/astir_tutorial.ipynb\n.. |on github| image:: https://img.shields.io/badge/on-github-black\n    :target: https://github.com/camlab-bioml/Astir-Vignette\n\n\nSee the full `documentation \u003chttps://astir.readthedocs.io/en/latest\u003e`_ and check out the `tutorials \u003chttps://astir.readthedocs.io/en/latest/tutorials/index.html\u003e`_.\n\n\nAuthors\n---------------------\n\n| Jinyu Hou, Sunyun Lee, Michael Geuenich, Kieran Campbell\n| Lunenfeld-Tanenbaum Research Institute \u0026 University of Toronto\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamlab-bioml%2Fastir","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcamlab-bioml%2Fastir","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamlab-bioml%2Fastir/lists"}