HeatMapper: Powerful Combined Visualization of Gene Expression Profile Correlations, Genotypes, Phenotypes and Sample Characteristics

Overview

Journal BMC Bioinformatics

Publisher Biomed Central

Specialty Biology

Date 2006 Jul 14

PMID 16836741

Citations 16

Authors

Roel G W Verhaak

Mathijs A Sanders

Maarten A Bijl

Ruud Delwel

Sebastiaan Horsman

Michael J Moorhouse

Peter J van der Spek

Bob Lowenberg

Peter J M Valk

Affiliations

Soon will be listed here.

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.

Results: We have developed a tool called the HeatMapper that provides such visualizations in a dynamic and flexible manner and is available from http://www.erasmusmc.nl/hematologie/heatmapper/.

Conclusion: The HeatMapper allows an accessible and comprehensive visualization of the results of gene expression profiling and cluster analysis.

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