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GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data

View ORCID ProfileRoss J. Burton, View ORCID ProfileSimone M. Cuff, View ORCID ProfileMatt P. Morgan, View ORCID ProfileAndreas Artemiou, View ORCID ProfileMatthias Eberl
doi: https://doi.org/10.1101/2022.06.30.496829
Ross J. Burton
1Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, United Kingdom
2Adult Critical Care, University Hospital of Wales, Cardiff and Vale University Health Board, Cardiff CF14 4XW, United Kingdom
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  • For correspondence: ross.burton@wales.nhs.uk
Simone M. Cuff
1Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, United Kingdom
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Matt P. Morgan
2Adult Critical Care, University Hospital of Wales, Cardiff and Vale University Health Board, Cardiff CF14 4XW, United Kingdom
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Andreas Artemiou
3School of Mathematics, Cardiff University, Cardiff CF24 4AG, United Kingdom
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Matthias Eberl
1Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, United Kingdom
4Systems Immunity Research Institute, Cardiff University, Cardiff CF14 4XN, United Kingdom
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  • https://github.com/burtonrj/CytoCluster

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Posted July 03, 2022.
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GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data
Ross J. Burton, Simone M. Cuff, Matt P. Morgan, Andreas Artemiou, Matthias Eberl
bioRxiv 2022.06.30.496829; doi: https://doi.org/10.1101/2022.06.30.496829
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GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data
Ross J. Burton, Simone M. Cuff, Matt P. Morgan, Andreas Artemiou, Matthias Eberl
bioRxiv 2022.06.30.496829; doi: https://doi.org/10.1101/2022.06.30.496829

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