Complex heatmaps reveal patterns and correlations in multidimensional genomic data
Complex heatmaps reveal patterns and correlations in multidimensional genomic data
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DOI：
10.1093/bioinformatics/btw313
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发表时间：
2016-09-15
期刊：
影响因子：
5.8
通讯作者：
Schlesner, Matthias
中科院分区：
文献类型：
--
作者：
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
具有精心设计的注释图形的并行热图对于高效可视化高维基因组数据之间的模式和关系是强大的。在这里，我们介绍了ComplexHeatmap包，它提供了丰富的功能，用于自定义热图，排列多个并行热图，并包括用户定义的注释图形。我们展示了ComplexHeatmap的强大功能，可以轻松地揭示四个真实世界数据集的多个信息源之间的模式和相关性。
Parallel heatmaps with carefully designed annotation graphics are powerful for efficient visualization of patterns and relationships among high dimensional genomic data. Here we present the ComplexHeatmap package that provides rich functionalities for customizing heatmaps, arranging multiple parallel heatmaps and including user-defined annotation graphics. We demonstrate the power of ComplexHeatmap to easily reveal patterns and correlations among multiple sources of information with four real-world datasets.