# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "clustree" in publications use:' type: software license: GPL-3.0-only title: 'clustree: Visualise Clusterings at Different Resolutions' version: 0.5.1 doi: 10.1093/gigascience/giy083 identifiers: - type: doi value: 10.32614/CRAN.package.clustree abstract: Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases. authors: - family-names: Zappia given-names: Luke email: luke@lazappi.id.au orcid: https://orcid.org/0000-0001-7744-8565 - family-names: Oshlack given-names: Alicia email: alicia.oshlack@petermac.org orcid: https://orcid.org/0000-0001-9788-5690 preferred-citation: type: article title: 'Clustering trees: a visualization for evaluating clusterings at multiple resolutions' authors: - family-names: Zappia given-names: Luke email: luke@lazappi.id.au orcid: https://orcid.org/0000-0001-7744-8565 - family-names: Oshlack given-names: Alicia email: alicia.oshlack@petermac.org orcid: https://orcid.org/0000-0001-9788-5690 journal: GigaScience volume: '7' issue: '7' month: '7' year: '2018' url: https://doi.org/10.1093/gigascience/giy083 doi: 10.1093/gigascience/giy083 repository: https://lazappi.r-universe.dev repository-code: https://github.com/lazappi/clustree commit: 24900bdf459c29812c716ba9f889c58685f957ed url: https://lazappi.github.io/clustree/ date-released: '2023-11-05' contact: - family-names: Zappia given-names: Luke email: luke@lazappi.id.au orcid: https://orcid.org/0000-0001-7744-8565