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Complex heatmaps reveal patterns and correlations in multidimensional genomic data

Gu, Zuguang ; Eils, Roland ; Schlesner, Matthias

Bioinformatics (Oxford, England), 2016-09, Vol.32 (18), p.2847-2849 [Periódico revisado por pares]

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Título:
Complex heatmaps reveal patterns and correlations in multidimensional genomic data
Autor: Gu, Zuguang ; Eils, Roland ; Schlesner, Matthias
Assuntos: Computer Graphics ; Gene Expression ; Genomics ; Humans ; Metabolic Networks and Pathways ; Software
É parte de: Bioinformatics (Oxford, England), 2016-09, Vol.32 (18), p.2847-2849
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: 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. The ComplexHeatmap package and documentation are freely available from the Bioconductor project: http://www.bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.html m.schlesner@dkfz.de Supplementary data are available at Bioinformatics online.
Editor: England
Idioma: Inglês

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