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MaTSE: The microarray time-series explorer

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


Paul Craig


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.

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Peer Reviewed Not Peer Reviewed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
Keywords MaTSE; information visualization application; interaction techniques; microarray time series explorer; pattern browser; temporal intervals; visualization techniques;
Public URL
Publisher URL
Contract Date May 16, 2017


MaTSE: The Microarray Time-Series Explorer.pdf (586 Kb)

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© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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