<p>treekoR: Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry datatreekoR: Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data</p>

Adam Chan; Ellis Patrick; Jean Yang

doi:10.7490/f1000research.1118716.1

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Chan A, Patrick E and Yang J. treekoR: Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry datatreekoR: Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data [version 1; not peer reviewed]. F1000Research 2021, 10:749 (slides) (https://doi.org/10.7490/f1000research.1118716.1)

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treekoR: Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry datatreekoR: Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data

Adam Chan, Ellis Patrick¹, Jean Yang

Published 04 Aug 2021 (https://doi.org/10.7490/f1000research.1118716.1)

Author Affiliations

¹ The University of Sydney, Australia

Copyright © 2021 Chan A et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 04 Aug 2021

treekoR: Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry datatreekoR: Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data
[version 1; not peer reviewed]

Adam Chan, Ellis Patrick¹, Jean Yang

Author Affiliations

¹ The University of Sydney, Australia

Presented at

Bioconductor Virtual Conference 2021

Abstract

Competing Interests

No competing interests were disclosed

Keywords

single cell, cytometry, cytof, flow, mass, analysis, bioinformatics, hierarchy, cell types

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