Authors

  • Tal Galili. Author, maintainer, copyright holder.
    https://www.r-statistics.com

  • Yoav Benjamini. Thesis advisor.

  • Gavin Simpson. Contributor.

  • Gregory Jefferis. Author, contributor.
    imported code from his dendroextras package

  • Marco Gallotta. Contributor.
    a.k.a: marcog

  • Johan Renaudie. Contributor.
    https://github.com/plannapus

  • The R Core Team. Contributor.
    Thanks for the Infastructure, and code in the examples

  • Kurt Hornik. Contributor.

  • Uwe Ligges. Contributor.

  • Andrej-Nikolai Spiess. Contributor.

  • Steve Horvath. Contributor.

  • Peter Langfelder. Contributor.

  • skullkey. Contributor.

  • Mark Van Der Loo. Contributor.
    https://github.com/markvanderloo d3dendrogram

  • Andrie de Vries. Contributor.
    ggdendro author

  • Zuguang Gu. Contributor.
    circlize author

  • Cath. Contributor.
    https://github.com/CathG

  • John Ma. Contributor.
    https://github.com/JohnMCMa

  • Krzysiek G. Contributor.
    https://github.com/storaged

  • Manuela Hummel. Contributor.
    https://github.com/hummelma

  • Chase Clark. Contributor.
    https://github.com/chasemc

  • Lucas Graybuck. Contributor.
    https://github.com/hypercompetent

  • jdetribol. Contributor.
    https://github.com/jdetribol

  • Ben Ho. Contributor.
    https://github.com/SplitInf

  • Samuel Perreault. Contributor.
    https://github.com/samperochkin

  • Christian Hennig. Contributor.
    http://www.homepages.ucl.ac.uk/~ucakche/

  • David Bradley. Contributor.
    https://github.com/DBradley27

  • Houyun Huang. Contributor.
    https://github.com/houyunhuang

  • Patrick Schupp. Contributor.
    https://github.com/pschupp

Citation

Source: inst/CITATION

Tal Galili (2015). dendextend: an R package for visualizing, adjusting, and comparing trees of hierarchical clustering. Bioinformatics. DOI: 10.1093/bioinformatics/btv428

@Article{,
  author = {Tal Galili},
  title = {dendextend: an R package for visualizing, adjusting, and comparing trees of hierarchical clustering},
  journal = {Bioinformatics},
  year = {2015},
  doi = {10.1093/bioinformatics/btv428},
  url = {https://academic.oup.com/bioinformatics/article/31/22/3718/240978/dendextend-an-R-package-for-visualizing-adjusting},
  eprint = {https://academic.oup.com/bioinformatics/article-pdf/31/22/3718/17122682/btv428.pdf},
}