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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "palettome" in publications use:'
type: software
license: Apache-2.0
title: 'palettome: Hierarchy-Aware, Interactively Editable Color Palettes for Clusters'
version: 1.0.1
abstract: Assigns perceptually-informed color palettes to clustered data (e.g. scRNA-seq
  clusters / cell subtypes from 'Seurat' or plain UMAP coordinate tables), where clusters
  that belong to the same "family" (e.g. subtypes of T cells) can be colored either
  harmoniously (shared hue, varying shade) or with maximal contrast (with family membership
  encoded via a secondary channel). Families can be auto-detected from embedding-space
  hierarchical clustering or supplied explicitly, and every generated color remains
  individually overridable, with manual overrides preserved across regeneration. Colors
  are constructed in the HCL space as in Zeileis et al. (2020) <https://doi.org/10.18637/jss.v096.i01>,
  separated using the CIEDE2000 color difference of Sharma, Wu and Dalal (2005) <https://doi.org/10.1002/col.20070>,
  and checked for color-vision deficiency using the simulation of Machado, Oliveira
  and Fernandes (2009) <https://doi.org/10.1109/TVCG.2009.113>. Core algorithms have
  no UI dependencies; an optional interactive 'shiny' UI is provided separately.
authors:
- family-names: Huang
  given-names: Chenbin
  email: chenbin.huang@emory.edu
  orcid: https://orcid.org/0000-0002-2179-2217
repository: https://cran.r-universe.dev
repository-code: https://github.com/thisishcb/Palettome
commit: cbe1961a52b81788dc1f3a54bb8a41c907e9047d
url: https://github.com/thisishcb/Palettome
date-released: '2026-10-20'
contact:
- family-names: Huang
  given-names: Chenbin
  email: chenbin.huang@emory.edu
  orcid: https://orcid.org/0000-0002-2179-2217