Brunel University Research Archive (BURA) >
Research Areas >
Information Systems and Computing >

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3240

Title: A framework for modelling short, high-dimensional multivariate time series: Preliminary results in virus gene expression data analysis
Authors: Kellam, P
Liu, X
Matin, N
Orengo, C
Swift, S
Tucker, A
Publication Date: 2001
Publisher: Springer
Citation: In Hoffman, F (ed). Advances in Intelligent Data Analysis. Heidelberg: Springer, 2001
Abstract: Short, high-dimensionalMultivariateTime Series (MTS) data are common in many fields such as medicine, finance and science, and any advance in modelling this kind of data would be beneficial. Nowhere is this more true than functional genomics where effective ways of analysing gene expression data are urgently needed. Progress in this area could help obtain a “global” view of biological processes, and ultimately lead to a great improvement in the quality of human life. We present a computational framework for modelling this type of data, and report preliminary experimental results of applying this framework to the analysis of gene expression data in the virology domain. The framework contains a threestep modelling strategy: correlation search, variable grouping, and short MTS modelling. Novel research is involved in each step which has been individually tested on different real-world datasets in engineering and medicine. This is the first attempt to integrate all these components into a coherent computational framework, and test the framework on a very challenging application area, which has produced promising results.
URI: http://www.springerlink.com/content/huwu4wyvlwukdemq/
http://bura.brunel.ac.uk/handle/2438/3240
ISBN: 978-3-540-42581-6
ISSN: 1611-3349
Appears in Collections:Information Systems and Computing
School of Information Systems, Computing and Mathematics Research Papers

Files in This Item:

File Description SizeFormat
Article_info.txt333 BTextView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.

 


Library (c) Brunel University.    Powered By: DSpace
Send us your
Feedback. Last Updated: September 14, 2010.
Managed by:
Hassan Bhuiyan