1. heatmaply: an R package for creating interactive cluster heatmaps for online publishing
- Author
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Tal Galili, Jonathan Sidi, Carson Sievert, and Alan O'Callaghan
- Subjects
FOS: Computer and information sciences ,0301 basic medicine ,Statistics and Probability ,Computer science ,Quantitative Biology - Quantitative Methods ,Statistics - Computation ,Biochemistry ,World Wide Web ,03 medical and health sciences ,Cluster (physics) ,Zoom ,Molecular Biology ,Quantitative Methods (q-bio.QM) ,Computation (stat.CO) ,Publishing ,business.industry ,Applications Notes ,Computer Science Applications ,Computational Mathematics ,R package ,030104 developmental biology ,Computational Theory and Mathematics ,FOS: Biological sciences ,Electronic publishing ,Data and Text Mining ,business ,Software - Abstract
Summary: heatmaply is an R package for easily creating interactive cluster heatmaps that can be shared online as a stand-alone HTML file. Interactivity includes a tooltip display of values when hovering over cells, as well as the ability to zoom in to specific sections of the figure from the data matrix, the side dendrograms, or annotated labels. Thanks to the synergistic relationship between heatmaply and other R packages, the user is empowered by a refined control over the statistical and visual aspects of the heatmap layout. Availability and implementation: The heatmaply package is available under the GPL-2 Open Source license. It comes with a detailed vignette, and is freely available from: http://cran.r-project.org/package=heatmaply. Supplementary information: Supplementary data are available at Bioinformatics online., Comment: 3 pages
- Published
- 2017