<![CDATA[BOL: heatmaply: popular graphical method for visualizing high-dimensional data]]> https://bioinformaticsonline.com/bookmarks/view/40525/heatmaply-popular-graphical-method-for-visualizing-high-dimensional-data? https://bioinformaticsonline.com/bookmarks/view/40525/heatmaply-popular-graphical-method-for-visualizing-high-dimensional-data Sat, 11 Jan 2020 07:34:14 -0600 https://bioinformaticsonline.com/bookmarks/view/40525/heatmaply-popular-graphical-method-for-visualizing-high-dimensional-data <![CDATA[heatmaply: popular graphical method for visualizing high-dimensional data]]> This work is based on ggplot2 and plotly.js engine. It produces similar heatmaps as d3heatmap, with the advantage of speed (plotly.js is able to handle larger size matrix), and the ability to zoom from the dendrogram.

heatmaply also provides an interface based around the plotly R package. This interface can be used by choosing plot_method = "plotly" instead of the default plot_method = "ggplot". This interface can provide smaller objects and faster rendering to disk in many cases and provides otherwise almost identical features.

Documentation for this package is also available as a pkgdown site: http://talgalili.github.io/heatmaply/

Address of the bookmark: http://talgalili.github.io/heatmaply/articles/heatmaply.html

]]> Neel