Make Complex Heatmaps

Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics.

Citation

Zuguang Gu, Roland Eils and Matthias Schlesner, Complex heatmaps reveal patterns and correlations in multidimensional genomic data, Bioinformatics, 2016

Documentation

The full documentations are available at https://jokergoo.github.io/ComplexHeatmap-reference/book/ and the website is at https://jokergoo.github.io/ComplexHeatmap.

Install

ComplexHeatmap is available on Bioconductor, you can install it by:

if (!requireNamespace("BiocManager", quietly=TRUE))
    install.packages("BiocManager")
BiocManager::install("ComplexHeatmap")

If you want the latest version, install it directly from GitHub:

library(devtools)
install_github("jokergoo/ComplexHeatmap")

Usage

Make a single heatmap:

Heatmap(mat, ...)

A single Heatmap with column annotations:

ha = HeatmapAnnotation(df = anno1, anno_fun = anno2, ...)
Heatmap(mat, ..., top_annotation = ha)

Make a list of heatmaps:

Heatmap(mat1, ...) + Heatmap(mat2, ...)

Make a list of heatmaps and row annotations:

ha = HeatmapAnnotation(df = anno1, anno_fun = anno2, ..., which = "row")
Heatmap(mat1, ...) + Heatmap(mat2, ...) + ha

Examples

Visualize Methylation Profile with Complex Annotations

Correlations between methylation, expression and other genomic features

Visualize Cell Heterogeneity from Single Cell RNASeq

Making Enhanced OncoPrint

UpSet plot

License

MIT @ Zuguang Gu