astir - Automated single-cell pathology

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.

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

Indices and tables

• Index

• Module Index

• Search Page