Microarray Biclustering with Crowding Based MOACO

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作者信息关键词期刊信息会议信息基础信息归属信息摘要

成果类型：

期刊论文、会议论文

作者：

Liu, Junwan*;Li, Zhoujun;Hu, Xiaohua;Chen, Yiming

通讯作者：

Liu, Junwan

作者机构：

[Liu, Junwan] Cent S Univ Forestry & Technol, Sch Comp & Informat Engeering, Hunan, Peoples R China.

[Li, Zhoujun; Chen, Yiming; Liu, Junwan] Natl Univ Def Technol, Sch Comp, Changsha, Hunan, Peoples R China.

[Li, Zhoujun] Beihang Univ, Sch Engn & Comp Sci, Beijing, Peoples R China.

[Hu, Xiaohua] Drexel Univ, Coll Informat Sci& Technol, Philadelphia, PA USA.

[Chen, Yiming] Hunan Agr Univ, Sch Informat Sci &Technol, Hunan, Peoples R China.

通讯机构：

[Liu, Junwan] C

Cent S Univ Forestry & Technol, Sch Comp & Informat Engeering, Hunan, Peoples R China.

语种：

英文

期刊：

2009 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE

ISSN：

2156-1125

年：

2009

页码：

170-173

会议名称：

2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009, Washington, DC, USA, 1-4 November 2009, Proceedings

DOI：

10.1109/BIBM.2009.23

基金类别：

Hunan Provincial Education Department [09A105]; Central South University of Forestry Technology [0702613]

机构署名：

本校为第一且通讯机构

摘要：

Biclustering methods allow us to identify genes with similar behavior with respect to different conditions. Ant Colony Optimization (ACO) algorithms have been shown to be effective problem solving strategies for Multiple Objective Optimization (MOO). Multiple Objective Ant colony optimization (MOACO) mainly focuses on solving the multiple objective combinatorial optimization problems. This paper incorporates crowding update technology into MOACOB and proposes a novel crowding based MOACO biclustering algorithm to mine biclusters from microarray...

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Microarray Biclustering with Crowding Based MOACO

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