Complex heatmaps reveal patterns and correlations in multidimensional genomic data

被引：5991

作者：

Gu, Zuguang ^{[1
,2
]}

Eils, Roland ^{[1
,2
,3
,4
]}

Schlesner, Matthias ^{[1
]}

机构：

[1] German Canc Res Ctr, Div Theoret Bioinformat, Heidelberg, Germany

[2] German Canc Res Ctr, Heidelberg Ctr Personalized Oncol DKFZ HIPO, Heidelberg, Germany

[3] Heidelberg Univ, Inst Pharm & Mol Biotechnol, Dept Bioinformat & Funct Genom, Heidelberg, Germany

[4] Heidelberg Univ, BioQuant, Heidelberg, Germany

来源：

BIOINFORMATICS | 2016年 / 32卷 / 18期

关键词：

D O I：

10.1093/bioinformatics/btw313

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：2847 / 2849

页数：3

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