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Complex heatmaps reveal patterns and correlations in multidimensional genomic data

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Gu, Zuguang, Eils, Roland, Schlesner, Matthias·2016·Bioinformatics

Abstract

Summary: 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. Availability and Implementation: The ComplexHeatmap package and documentation are freely available from the Bioconductor project: http://www.bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.html. Contact: m.schlesner@dkfz.de Supplementary information: Supplementary data are available at Bioinformatics online.

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Research works printed but not linked: 3

  1. Galili, 2015, dendextend: an R package for visualizing, adjusting, and comparing trees of hierarchical clustering, Bioinformatics, 31, 3718, 10.1093/bioinformatics/btv428 · DOI
  2. Gao, 2013, Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal, Sci. Signal, 6, pl1, 10.1126/scisignal.2004088 · DOI · Paper page
  3. Sturm, 2012, Hotspot mutations in H3F3A and IDH1 define distinct epigenetic and biological subgroups of glioblastoma, Cancer Cell, 22, 425, 10.1016/j.ccr.2012.08.024 · DOI · Paper page

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Metadata

Authors
Gu, Z., Eils, R., & Schlesner, M.
Venue
Bioinformatics
Published
2016-05-20
Volume
32
Issue
18
Pages
2847-2849
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2406250479
Cited by
10,034
References
3
FWCI
72.83
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Complex heatmaps reveal patterns and correlations in multidimensional genomic data. https://app.cochat.ai/papers/10.1093/bioinformatics/btw313
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Gu, Z., Eils, R., & Schlesner, M. (2016). Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics. https://doi.org/10.1093/bioinformatics/btw313

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