Research Output

MaTSE: The microarray time-series explorer

  This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualization 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.

  • Date:

    13 December 2012

  • Publication Status:

    Published

  • Publisher

    IEEE

  • DOI:

    10.1109/biovis.2012.6378591

  • Library of Congress:

    QA76 Computer software

  • Dewey Decimal Classification:

    006.6 Computer graphics

Citation

Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2012). MaTSE: The microarray time-series explorer. In 2012 IEEE Symposium on Biological Data Visualization (BioVis), 41-48. doi:10.1109/biovis.2012.6378591

Authors

Keywords

MaTSE; information visualization application; interaction techniques; microarray time series explorer; pattern browser; temporal intervals; visualization techniques;

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    MaTSE: The Microarray Time-Series Explorer.pdf

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