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1
Introduction
2
Package installation and library import
3
Creating dataset
4
Plotting out each dataset using Heatmap
5
Combing heatmap horizontally using + sign
6
Combing heatmap vertically using %v% sign
7
Defining and identify heatmaps in combined plot
8
Using draw function to add tittles and labels
9
realizing that gpar possibly means
10
Changing the size of heatmaps when combined
11
Changing the gap size
12
Selecting the main heatmap
13
Adding annotation
14
More annotation
15
Even more annotation
16
Last one, more annotation
17
Closing Summary
Description:
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.

Joining Multiple Heatmaps - ComplexHeatMap Tutorial

LiquidBrain Bioinformatics
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