HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteristics
1 Department of Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands
2 Department of Bioinformatics, Erasmus University Medical Center, Rotterdam, The Netherlands
BMC Bioinformatics 2006, 7:337 doi:10.1186/1471-2105-7-337Published: 12 July 2006
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.
The HeatMapper allows an accessible and comprehensive visualization of the results of gene expression profiling and cluster analysis.