Interactive Heatmaps

Kevin Feasel

2016-05-24

R

Sahir Bhatnagar uses heatmaply to generate heatmaps:

In every statistical analysis, the first thing one should do is try and visualise the data before any modeling. In microarray studies, a common visualisation is a heatmap of gene expression data.

In this post I simulate some gene expression data and visualise it using theheatmaply package in R by Tal Galili. This package extends the plotly engine to heatmaps, allowing you to inspect certain values of the data matrix by hovering the mouse over a cell. You can also zoom into a region of the heatmap by drawing a rectangle over an area of your choice

This went way past my rudimentary heatmap skills, so it’s nice to see what an advanced user can do.

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