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 the
Rby 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.