HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteristics |
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| Authors: | Roel GW Verhaak Mathijs A Sanders Maarten A Bijl Ruud Delwel Sebastiaan Horsman Michael J Moorhouse Peter J van der Spek Bob Löwenberg Peter JM Valk |
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| Affiliation: | (1) Department of Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands;(2) Department of Bioinformatics, Erasmus University Medical Center, Rotterdam, The Netherlands |
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| Abstract: | Background Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining sample-gene heatmaps and sample characteristics. This method is not optimal for comparing individual samples or groups of samples. Here, we describe an approach to visually integrate the results of unsupervised and supervised cluster analysis using a correlation plot and additional sample metadata. |
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