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Make Interactive Complex Heatmaps in R

SUMMARY: Heatmap is a powerful visualization method on two-dimensional data to reveal patterns shared by subsets of rows and columns. In this work, we introduce a new R package InteractiveComplexHeatmap that brings interactivity to the widely used ComplexHeatmap package. InteractiveComplexHeatmap is...

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Detalles Bibliográficos
Autores principales: Gu, Zuguang, Hübschmann, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826183/
https://www.ncbi.nlm.nih.gov/pubmed/34864868
http://dx.doi.org/10.1093/bioinformatics/btab806
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author Gu, Zuguang
Hübschmann, Daniel
author_facet Gu, Zuguang
Hübschmann, Daniel
author_sort Gu, Zuguang
collection PubMed
description SUMMARY: Heatmap is a powerful visualization method on two-dimensional data to reveal patterns shared by subsets of rows and columns. In this work, we introduce a new R package InteractiveComplexHeatmap that brings interactivity to the widely used ComplexHeatmap package. InteractiveComplexHeatmap is designed with an easy-to-use interface where static complex heatmaps can be directly exported to an interactive Shiny web application only with one additional line of code. InteractiveComplexHeatmap also provides flexible functionalities for integrating interactive heatmap widgets to build more complex and customized Shiny web applications. AVAILABILITY AND IMPLEMENTATION: The InteractiveComplexHeatmap package and documentations are freely available from the Bioconductor project: https://bioconductor.org/packages/InteractiveComplexHeatmap/. A complete and printer-friendly version of the documentation can also be found in Supplementary File S1. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-88261832022-02-09 Make Interactive Complex Heatmaps in R Gu, Zuguang Hübschmann, Daniel Bioinformatics Applications Notes SUMMARY: Heatmap is a powerful visualization method on two-dimensional data to reveal patterns shared by subsets of rows and columns. In this work, we introduce a new R package InteractiveComplexHeatmap that brings interactivity to the widely used ComplexHeatmap package. InteractiveComplexHeatmap is designed with an easy-to-use interface where static complex heatmaps can be directly exported to an interactive Shiny web application only with one additional line of code. InteractiveComplexHeatmap also provides flexible functionalities for integrating interactive heatmap widgets to build more complex and customized Shiny web applications. AVAILABILITY AND IMPLEMENTATION: The InteractiveComplexHeatmap package and documentations are freely available from the Bioconductor project: https://bioconductor.org/packages/InteractiveComplexHeatmap/. A complete and printer-friendly version of the documentation can also be found in Supplementary File S1. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-12-02 /pmc/articles/PMC8826183/ /pubmed/34864868 http://dx.doi.org/10.1093/bioinformatics/btab806 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Gu, Zuguang
Hübschmann, Daniel
Make Interactive Complex Heatmaps in R
title Make Interactive Complex Heatmaps in R
title_full Make Interactive Complex Heatmaps in R
title_fullStr Make Interactive Complex Heatmaps in R
title_full_unstemmed Make Interactive Complex Heatmaps in R
title_short Make Interactive Complex Heatmaps in R
title_sort make interactive complex heatmaps in r
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826183/
https://www.ncbi.nlm.nih.gov/pubmed/34864868
http://dx.doi.org/10.1093/bioinformatics/btab806
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