Biclustering Gene Expression Data based on a High Dimensional Geometric Method

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Title Biclustering Gene Expression Data based on a High Dimensional Geometric Method
Author Gan, Xiangchao; Liew, Alan Wee-Chung; Yan, Hong
Publication Title Proceedings of the Fourth International Conference on Machine Learning and Cybernetics
Editor Daniel S. Yeung, Zhi-Qiang Liu, Xi-Zhao Wang, Hong Yan
Year Published 2005
Place of publication USA
Publisher IEEE
Abstract In gene expression data, a bicluster is a subset of genes exhibiting a consistent pattern over a subset of the conditions. In this paper, we propose a new method to detect biclusters in gene expression data. Our approach is based on the high dimensional geometric property of biclusters and it avoids dependence on specific patterns, which degrade many available biclustering algorithms. Furthermore, we illustrate that a bilclustering algorithm can be decomposed into two independent steps and this not only helps to build up a hierarchical structure but also provides a coarse-to-fine mechanism and overcome the effect of the inherent noise in gene expression data. The simulated experiments demonstrate that our algorithm is very promising.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ICMLC.2005.1527527
Copyright Statement Copyright 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 0-7803-9091-1
Conference name Fourth International Conference on Machine Learning and Cybernetics
Location China
Date From 2005-08-19
Date To 2005-08-21
URI http://hdl.handle.net/10072/26081
Date Accessioned 2007-06-08
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 http://www4.comp.polyu.edu.hk/~cike/icmlc2005/home.htm
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1x

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