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heatmaply: an R package for creating interactive cluster heatmaps for online publishing
Tal Galili1, Alan O'Callaghan2, Jonathan Sidi3
1Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 6997801, Israel.
The R package heatmaply creates interactive heatmaps for easy online sharing. Users gain refined control over statistical and visual heatmap aspects for enhanced data visualization.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Visualization
Background:
- Heatmaps are crucial for visualizing high-dimensional data.
- Existing heatmap tools may lack advanced interactivity and online sharing capabilities.
Purpose of the Study:
- To introduce heatmaply, an R package for creating interactive heatmaps.
- To enable easy online sharing of heatmaps as standalone HTML files.
Main Methods:
- Development of the heatmaply R package.
- Integration with existing R packages for statistical and visual control.
- Implementation of interactive features such as tooltips and zooming.
Main Results:
- heatmaply provides interactive cluster heatmaps.
- Interactivity includes tooltips on hover and zoom functionality.
- The package allows refined control over heatmap layout and statistics.
Conclusions:
- heatmaply offers a powerful and flexible solution for interactive heatmap generation.
- The package facilitates enhanced data exploration and communication through shareable HTML outputs.
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