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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

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