Learn how to join multiple heatmaps using the ComplexHeatMap package in R. Explore techniques for combining heatmaps horizontally and vertically, adding titles and labels, adjusting heatmap sizes and gap sizes, and incorporating various annotations. Follow along with step-by-step instructions on package installation, dataset creation, and heatmap plotting. Discover how to effectively visualize complex data relationships and maximize information display in a single figure. Access the provided script on GitHub and refer to the ComplexHeatmap reference book for further guidance. Perfect for bioinformaticians and researchers looking to enhance their data visualization skills in R.
Overview
Syllabus
Introduction
Package installation and library import
Creating dataset
Plotting out each dataset using Heatmap
Combing heatmap horizontally using + sign
Combing heatmap vertically using %v% sign
Defining and identify heatmaps in combined plot
Using draw function to add tittles and labels
realizing that gpar possibly means
Changing the size of heatmaps when combined
Changing the gap size
Selecting the main heatmap
Adding annotation
More annotation
Even more annotation
Last one, more annotation
Closing Summary
Taught by
LiquidBrain Bioinformatics
