MaTSE: The microarray time-series explorer

Craig, Paul; Cannon, Alan; Kukla, Robert; Kennedy, Jessie

Abstract

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.

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). https://doi.org/10.1109/biovis.2012.6378591

• Conference Name: 2012 IEEE Symposium on Biological Data Visualization (BioVis)
• Start Date: Oct 14, 2012
• End Date: Oct 15, 2012
• Publication Date: Dec 13, 2012
• Deposit Date: Jan 16, 2013
• Publicly Available Date: May 16, 2017
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Not Peer Reviewed
• Pages: 41-48
• Book Title: 2012 IEEE Symposium on Biological Data Visualization (BioVis)
• ISBN: 9781467347303; 9781467347297
• DOI: https://doi.org/10.1109/biovis.2012.6378591
• Keywords: MaTSE; information visualization application; interaction techniques; microarray time series explorer; pattern browser; temporal intervals; visualization techniques
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/5793
• Publisher URL: http://dx.doi.org/10.1109/BioVis.2012.6378591
• Contract Date: May 16, 2017