<a href="https://jokergoo.github.io/ComplexHeatmap-reference/book/"><img src="https://jokergoo.github.io/ComplexHeatmap-reference/book/complexheatmap-cover.jpg" width=240 align="right" style="border:2px solid black;" ></a> [](https://travis-ci.org/jokergoo/ComplexHeatmap) [](https://codecov.io/github/jokergoo/ComplexHeatmap) [](https://bioconductor.org/packages/stats/bioc/ComplexHeatmap/) [](https://bioconductor.org/packages/stats/bioc/ComplexHeatmap/) [](http://bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.html) ## 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](http://bioinformatics.oxfordjournals.org/content/early/2016/05/20/bioinformatics.btw313.abstract), Bioinformatics, 2016 ### Documentation The full documentations are available at https://jokergoo.github.io/ComplexHeatmap-reference/book/. ### Install `ComplexHeatmap` is available on [Bioconductor](http://www.bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.html), you can install it by: ```{r} if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("ComplexHeatmap") ``` If you want the latest version, install it directly from GitHub: ```{r} library(devtools) install_github("jokergoo/ComplexHeatmap") ``` ### Usage Make a single heatmap: ```{r} Heatmap(mat, ...) ``` A single Heatmap with column annotations: ```{r} ha = HeatmapAnnotation(df = anno1, anno_fun = anno2, ...) Heatmap(mat, ..., top_annotation = ha) ``` Make a list of heatmaps: ```{r} Heatmap(mat1, ...) + Heatmap(mat2, ...) ``` Make a list of heatmaps and row annotations: ```{r} 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  ### License MIT @ Zuguang Gu