Analysis of Mouse Periodic Gene Expression Data Based on Singular Value Decomposition and Autoregressive Modeling

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Title Analysis of Mouse Periodic Gene Expression Data Based on Singular Value Decomposition and Autoregressive Modeling
Author Tang, Tsz-Yan; Liew, Alan Wee-Chung; Yan, Hong
Publication Title International MultiConference of Engineers and Computer Scientists 2010
Editor S. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng, Jeong-A Lee
Year Published 2010
Place of publication Hong Kong
Publisher International Association of Engineers
Abstract Each DNA microarray experiment generates a large amount of gene expression profiles and it remains a challenge for biologists to robustly identify periodic gene expression profiles with certain noise level in the data. In this paper, we propose a new scheme with noise filtering technique to analyze the periodicity of gene expression base on singular value decomposition (SVD), singular spectrum analysis (SSA) and autoregressive (AR) model-based spectrum estimation. With the combination of these methods, noise can be filtered out and over 85% of periodic gene expression can be identified in mouse presomitic mesoderm transcriptome data set.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.iaeng.org/IMECS2010/
Copyright Statement Copyright 2010 International Association of Engineers (IAENG). The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
ISBN 978-988-17012-8-2
Conference name International MultiConference of Engineers and Computer Scientists 2010
Location Hong Kong
Date From 2010-03-17
Date To 2010-03-19
URI http://hdl.handle.net/10072/37700
Date Accessioned 2011-01-25
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Information and Computing Sciences
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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