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- July 16, 2021.
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- Version 1 (May 13, 2021 - 10:20).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Author Information
- 1University Health Network, chloe.wang{at}uhnresearch.ca
- 2Department of Statistical Sciences, University of Toronto, linzhang{at}utstat.toronto.edu
- 3Department of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto
- 4Department of Computer Science, University of Toronto
- 5Vector Institute
- ↵†bowang{at}vectorinstitute.ai
↵* These authors contribute equally to this work.
Posted July 16, 2021.
One Cell At a Time: A Unified Framework to Integrate and Analyze Single-cell RNA-seq Data
