Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data.

Craig, Paul, Kennedy, Jessie and Cumming, Andrew (2005) Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data. Information Visualization, 4 (3). pp. 149-163. ISSN 1473 8716

Full text not available from this repository. (Request a copy)


Microarray technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multiple stages of a biological process. While this new perspective on biological functioning is recognised as having the potential to have a significant impact on the diagnosis, treatment, and prevention of diseases, it is only through effective analysis of the data produced that biologists can begin to unlock this potential. A significant obstacle to achieving effective analysis of microarray time-course is the combined scale and complexity of the data. This inevitably makes it difficult to reveal certain significant patterns in the data. In particular, it is less dominant patterns and, specifically, patterns that occur over smaller intervals of an experiment's overall time-frame that are more difficult to find. While existing techniques are capable of finding either unexpected patterns of activity over the majority of an experiment's time-frame or expected patterns of activity over smaller intervals of the time-frame, there are no techniques, or combination of techniques, that are suitable for finding unsuspected patterns of activity over smaller intervals. In order to overcome this limitation we have developed the Time-series Explorer, which specifically supports biologists in their attempts to reveal these types of pattern by allowing them to control an animated interval scatter-plot view of their data. This paper discusses aspects of the technique that make such an animated overview viable and describes the results of a user evaluation assessing the practical utility of the technique within the wider context of microarray time-series analysis as a whole.

Item Type: Article
Print ISSN: 1473 8716
Electronic ISSN: 1473 8724
Uncontrolled Keywords: Biology; Gene activity; Microarray technology; Data analysis; Pattern recognition; Computer programming; Time Series Explorer program; Animation; Scatter-plot; Evaluation;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data
500 Science > 570 Life sciences; biology > 576 Genetics & evolution
Library of Congress Subjects: Q Science > QH Natural history > QH426 Genetics
Q Science > QA Mathematics > QA76 Computer software
Item ID: 1813
Depositing User: RAE Import
Date Deposited: 16 May 2008 15:33
Last Modified: 15 Oct 2014 10:24

Actions (login required)

View Item View Item

Edinburgh Napier University is a registered Scottish charity. Registration number SC018373