Make interactive complex heatmaps in R
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...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
1 March 2022
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| In: |
Bioinformatics
Year: 2022, Volume: 38, Issue: 5, Pages: 1460-1462 |
| ISSN: | 1367-4811 |
| DOI: | 10.1093/bioinformatics/btab806 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/bioinformatics/btab806
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| Author Notes: | Zuguang Gu and Daniel Hübschmann |
| 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.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 data are available at Bioinformatics online. |
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| Item Description: | Veröffentlicht: 2 December 2021 Gesehen am 29.06.2022 |
| Physical Description: | Online Resource |
| ISSN: | 1367-4811 |
| DOI: | 10.1093/bioinformatics/btab806 |