MaTSE: The Microarray Time-Series Explorer

Craig, P., Cannon, A., Kukla, R., Kennedy, J. (2012). MaTSE: The Microarray Time-Series Explorer. In: Roerdink, J., Hibbs, M. (Eds.) Proceedings of IEEE Symposium on Biological Data Visualization (BioVis), 2012 , , () ( ed.). (pp. 41-48). : . IEEE.


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Abstract

This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualisation application for the exploratory analysis of large scale microarray timeseries data. The software combines a variety of visualization and interaction techniques, which work together to allow biologists to explore their data and reveal patterns that would otherwise be impossible to find. These include a scatter-plot that can be animated to view different temporal intervals of the data, a multiple coordinated view framework to support the cross reference of multiple experimental conditions, a novel method for highlighting overlapping groups in the scatter-plot, and a pattern browser component that can be used with scatterplot box queries to support cooperative visualization.
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Authors

Alan Cannon
Research Fellow
a.cannon@napier.ac.uk
+44 131 455 2437
Robert Kukla
Senior Research Fellow
r.kukla@napier.ac.uk
+44 131 455 2738
Jessie Kennedy
Dean of Research and Innovation
j.kennedy@napier.ac.uk
+44 131 455 2772

Areas of Expertise

Information Visualisation
Information visualisation is the use of enhanced Graphical User Interfaces (GUIs) to communicate and interact with complex data sets such as social networks, multiattribute tables, and financial data. Pages of text and numbers are not the most effective way to communicate or understand information.