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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
Simone M. Cuff
1Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, United Kingdom
Matt P. Morgan
2Adult Critical Care, University Hospital of Wales, Cardiff and Vale University Health Board, Cardiff CF14 4XW, United Kingdom
Andreas Artemiou
3School of Mathematics, Cardiff University, Cardiff CF24 4AG, United Kingdom
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
Posted July 03, 2022.
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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