We have developed a methodology that allows integration of microarray data and meta information within a visualization in order to guide the investigator during data exploration and analysis. A simple mathematical framework is introduced that uses scoring functions to map meta information to relevance ratings of genes. To explore the potential of this framework we extended the traditional heatmap with new features to graphically represent the relevance ratings. These ratings are visualized by an additional color gradient, by scaling the vertical height of matrix rows, by rearranging rows or by inserting new columns into the heatmap. This visualization is called an enhanced heatmap.
This project was made possible by a Karl-Steinbuch-Stipendium sponsored by the MFG-Stiftung Baden-Württemberg.
N Gehlenborg, J Dietzsch and K Nieselt, “A Framework for Visualization of Microarray Data and Integrated Meta Information“, Information Visualization 4(3):164-175 (2005).
N Gehlenborg, “Visualisierung für DNA-Chip-Analysen“, in D. Spath, K. Haasis and D. Klumpp (Eds.), Aktuelle Trends in der Softwareforschung (Vol. 3), 259-270, IRB Fraunhofer Verlag, Stuttgart, Germany (2005). In German.