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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "treekoR" in publications use:'
type: software
license: GPL-3.0-only
title: 'treekoR: Cytometry Cluster Hierarchy and Cellular-to-phenotype Associations'
version: 1.13.0
abstract: 'treekoR is a novel framework that aims to utilise the hierarchical nature
  of single cell cytometry data to find robust and interpretable associations between
  cell subsets and patient clinical end points. These associations are aimed to recapitulate
  the nested proportions prevalent in workflows inovlving manual gating, which are
  often overlooked in workflows using automatic clustering to identify cell populations.
  We developed treekoR to: Derive a hierarchical tree structure of cell clusters;
  quantify a cell types as a proportion relative to all cells in a sample (%total),
  and, as the proportion relative to a parent population (%parent); perform significance
  testing using the calculated proportions; and provide an interactive html visualisation
  to help highlight key results.'
authors:
- family-names: Chan
  given-names: Adam
  email: adam.s.chan@sydney.edu.au
repository: https://bioc.r-universe.dev
contact:
- family-names: Chan
  given-names: Adam
  email: adam.s.chan@sydney.edu.au