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HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteristics
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
Affiliation:(1) Department of Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands;(2) Department of Bioinformatics, Erasmus University Medical Center, Rotterdam, The Netherlands
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.
Keywords:
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