Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data.

Craig, Paul and Kennedy, Jessie (2003) Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data. In: IEEE Symposium on Information Visualization. INFOVIS . IEEE Computer Society Press, Seattle, Washington, USA, pp. 173-180. ISBN 0-7803-8154-8

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Microarrays are a relatively new, high-throughput data acquisition technology for investigating biological phenomena at the micro-level. The product of microarray experiments is large-scale time-series data, which subject to proper analysis has the potential to have significant impact on the diagnosis, treatment, and prevention of diseases. While existing information visualization techniques go some way to making microarray time-series data more manageable, requirements analysis has revealed significant limitations. The main finding was that users were unable to uncover and quantify common changes in value over a specified time-period. This paper describes a novel technique that provides this functionality by allowing the user to visually formulate and modify measurable queries with separate time-period and condition components. These visual queries are supported by the combination of a traditional value against time graph representation of the data with a complementary scatter-plot representation of a specified time-period. The multiple views of the visualization are coordinated so that the user can formulate and modify queries with rapid reversible display of query results in the traditional value against time graph format.

Item Type: Book Section
ISBN: 0-7803-8154-8
Uncontrolled Keywords: Bioinformatics; Microarrays; Information Visualization; Time-Series; Multiple-views; Multiple time-specific criteria; Scatter plots;
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
Library of Congress Subjects: Q Science > QH Natural history > QH301 Biology
Q Science > QA Mathematics > QA76 Computer software
Item ID: 3020
Depositing User: Computing Research
Date Deposited: 28 Oct 2009 12:48
Last Modified: 15 Oct 2014 10:28

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