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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 and uses recognition networks for fast minibatch stochastic variational inference.

automated single-cell pathology

Getting started

See the full documentation and check out the tutorials.

Authors

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

Release files for astir 0.0.11

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Source distribution for astir 0.0.11
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Table of built distributions (wheels) for astir 0.0.11
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astir-0.0.11-py3-none-any.whl Python 3 none any Details

Total release size: 79.9 kB

Release files / astir-0.0.11.tar.gz

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0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.0

2 release files

This release

0.0.11 This release

2 release files

0.0.10

2 release files

0.0.9

2 release files

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