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dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering
Summary: dendextend is an R package for creating and comparing visually appealing tree diagrams. dendextend provides utility functions for manipulating dendrogram objects (their color, shape and content) as well as several advanced methods for comparing trees to one another (both statistically and v...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817050/ https://www.ncbi.nlm.nih.gov/pubmed/26209431 http://dx.doi.org/10.1093/bioinformatics/btv428 |
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author | Galili, Tal |
author_facet | Galili, Tal |
author_sort | Galili, Tal |
collection | PubMed |
description | Summary: dendextend is an R package for creating and comparing visually appealing tree diagrams. dendextend provides utility functions for manipulating dendrogram objects (their color, shape and content) as well as several advanced methods for comparing trees to one another (both statistically and visually). As such, dendextend offers a flexible framework for enhancing R's rich ecosystem of packages for performing hierarchical clustering of items. Availability and implementation: The dendextend R package (including detailed introductory vignettes) is available under the GPL-2 Open Source license and is freely available to download from CRAN at: (http://cran.r-project.org/package=dendextend) Contact: Tal.Galili@math.tau.ac.il |
format | Online Article Text |
id | pubmed-4817050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48170502016-04-04 dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering Galili, Tal Bioinformatics Applications Notes Summary: dendextend is an R package for creating and comparing visually appealing tree diagrams. dendextend provides utility functions for manipulating dendrogram objects (their color, shape and content) as well as several advanced methods for comparing trees to one another (both statistically and visually). As such, dendextend offers a flexible framework for enhancing R's rich ecosystem of packages for performing hierarchical clustering of items. Availability and implementation: The dendextend R package (including detailed introductory vignettes) is available under the GPL-2 Open Source license and is freely available to download from CRAN at: (http://cran.r-project.org/package=dendextend) Contact: Tal.Galili@math.tau.ac.il Oxford University Press 2015-11-15 2015-07-23 /pmc/articles/PMC4817050/ /pubmed/26209431 http://dx.doi.org/10.1093/bioinformatics/btv428 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Galili, Tal dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering |
title | dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering |
title_full | dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering |
title_fullStr | dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering |
title_full_unstemmed | dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering |
title_short | dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering |
title_sort | dendextend: an r package for visualizing, adjusting and comparing trees of hierarchical clustering |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817050/ https://www.ncbi.nlm.nih.gov/pubmed/26209431 http://dx.doi.org/10.1093/bioinformatics/btv428 |
work_keys_str_mv | AT galilital dendextendanrpackageforvisualizingadjustingandcomparingtreesofhierarchicalclustering |