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Coordinated parallel views for the exploratory analysis of microarray time-course data.

Craig, Paul, Kennedy, Jessie and Cumming, Andrew (2005) Coordinated parallel views for the exploratory analysis of microarray time-course data. In: Third International Conference on Coordinated & Multiple Views in Exploratory Visualization, July 2005.

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Abstract/Description

Microarray time-course data relate to the recorded activity of thousands of genes, in parallel, over multiple discrete points in time during a biological process. Existing techniques that attempt to support the exploratory analysis of this data rely on static clustering views, interactive clustering views or coordinated clustering and graph views and are limited in that they fail to account for less dominant patterns in the data such as those that involve a subset of genes or a limited interval of the time-course. In this paper, we describe an alternative approach which avoids this limitation by using combined parallel views to present different complementary aspects of the data (i.e. timing, activity and change-in-activity). An example of how the views are combined to reveal significant patterns in the data (including those which cannot be found using clustering based techniques) is described and used to illustrate the benefits of combined parallel views to support exploratory-analysis of this type of data.

Item Type: Conference or Workshop Item (Paper)
ISBN: 076952396X
Additional Information: Paper in: Proceedings of the Third International Conference on Coordinated & Multiple Views in Exploratory Visualization (MCV '05). Washington, D.C.: IEEE Computer Society, July 2005. ISBN 076952396X.
Uncontrolled Keywords: Artificial intelligence; Knowledge representations; Time series analysis; Algorithms; Microarrays; Search processes; Coordinated views;
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 > 006 Special Computer Methods
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods > 006.6 Computer graphics
Library of Congress Subjects: Q Science > QA Mathematics > QA76 Computer software
Item ID: 1824
Depositing User: RAE Import
Date Deposited: 22 Jul 2008 11:46
Last Modified: 15 Oct 2014 11:41
URI: http://researchrepository.napier.ac.uk/id/eprint/1824

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