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FR-Match: Robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric test

Yun Zhang, Brian D. Aevermann, Trygve E. Bakken, Jeremy A. Miller, Rebecca D. Hodge, Ed S. Lein, Richard H. Scheuermann
doi: https://doi.org/10.1101/2020.05.01.073445
Yun Zhang
1J. Craig Venter Institute, La Jolla, CA, USA
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Brian D. Aevermann
1J. Craig Venter Institute, La Jolla, CA, USA
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Trygve E. Bakken
2Allen Institute for Brain Science, Seattle, WA, USA
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Jeremy A. Miller
2Allen Institute for Brain Science, Seattle, WA, USA
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Rebecca D. Hodge
2Allen Institute for Brain Science, Seattle, WA, USA
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Ed S. Lein
2Allen Institute for Brain Science, Seattle, WA, USA
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Richard H. Scheuermann
1J. Craig Venter Institute, La Jolla, CA, USA
3Department of Pathology, University of California San Diego, La Jolla, CA, USA
4Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA
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  • For correspondence: rscheuermann@jcvi.org
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Posted October 26, 2020.
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FR-Match: Robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric test
Yun Zhang, Brian D. Aevermann, Trygve E. Bakken, Jeremy A. Miller, Rebecca D. Hodge, Ed S. Lein, Richard H. Scheuermann
bioRxiv 2020.05.01.073445; doi: https://doi.org/10.1101/2020.05.01.073445
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FR-Match: Robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric test
Yun Zhang, Brian D. Aevermann, Trygve E. Bakken, Jeremy A. Miller, Rebecca D. Hodge, Ed S. Lein, Richard H. Scheuermann
bioRxiv 2020.05.01.073445; doi: https://doi.org/10.1101/2020.05.01.073445

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