A New Strategy of Geometrical Biclustering for Microarray Data Analysis

File Size Format
49718__1.pdf 154Kb Adobe PDF View
Title A New Strategy of Geometrical Biclustering for Microarray Data Analysis
Author Zhao, Hongya; Liew, Alan Wee-Chung; Yan, Hong
Publication Title Proceedings of the Fifth Asia Pacific Bioinformatics Conference
Editor David Sankoff, Lusheng Wang, and Francis Chin
Year Published 2007
Place of publication UK
Publisher Imperial College Press
Abstract In this paper, we present a new biclustering algorithm to provide the geometrical interpretation of similar microarray gene expression profiles. Different from standard clustering analyses, biclustering methodology can perform simultaneous classification on the row and column dimensions of a data matrix. The main object of the strategy is to reveal the submatrix, in which a subset of genes exhibits a consistent pattern over a subset of conditions. However, the search for such subsets is a computationally complex task. We propose a new algorithm, based on the Hough transform in the column-pair space to perform pattern identification. The algorithm is especially suitable for the biclustering analysis of large-scale microarray data. Our simulation studies show that the method is robust to noise and computationally efficient. Furthermore, we have applied it to a large database of gene expression profiles of multiple human organs and the resulting biclusters show clear biological meanings.
Peer Reviewed Yes
Published Yes
Publisher URI http://eproceedings.worldscinet.com
Alternative URI http://dx.doi.org/10.1142/9781860947995_0008
Copyright Statement Copyright 2007 World Scientific. The attached file is posted here in accordance with the copyright policy of the publisher, for your personal use only. No further distribution permitted. For information about this conference please refer to the conference's website or contact the authors.
ISBN 1860947832
Conference name APBC2007 The Fifth Asia Pacific Bioinformatics Conference
Location Hong Kong
Date From 2007-01-15
Date To 2007-01-17
URI http://hdl.handle.net/10072/22141
Date Accessioned 2008-03-07
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Gene Expression; PRE2009-Pattern Recognition
WWW reference www.cs.hku.edu.hk/apbc2007/
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1x

Show simple item record

Griffith University copyright notice