Multi-Objective Particle Swarm Optimization Biclustering of Microarray Data

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成果类型：

期刊论文

作者：

Liu, Junwan*;Li, Zhoujun;Liu, Feifei;Chen, Yiming

通讯作者：

Liu, Junwan

作者机构：

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

[Liu, Junwan] Cent South Univ Forestry & Technol, Sch Comp Sci, Changsha, Hunan, Peoples R China.

[Li, Zhoujun] Beihang Univ, Sch Engn & Comp Sci, Beijing 100191, Peoples R China.

[Liu, Feifei] Cent South Univ Forestry & Technol, Lib, Changsha, Hunan, Peoples R China.

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

通讯机构：

[Liu, Junwan] N

Natl Univ Deference Technol, Sch Comp, Changsha, Hunan, Peoples R China.

语种：

英文

期刊：

2008 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, PROCEEDINGS

ISSN：

2156-1125

年：

2008

页码：

363-366

DOI：

10.1109/BIBM.2008.17

基金类别：

National Science Foundation of China under Grants [60573057]; Scientific Research Fund of Central South University of Forestry & Technology Grants [0702613]

机构署名：

本校为其他机构

院系归属：

信息科学技术学院

摘要：

With the advent of the DNA microarray technology, it is now possible to study the transcriptional response of a complete genome to different experimental conditions. Biclustering is a very useful data mining technique for analysis of those gene expression data. During biclustering several objectives in conflict with each other have to be optimized simultaneously, so multi-objective modeling is suitable for solving biclustering problem. This paper proposes a novel multi-objective particle swarm optimization biclustering (MOPSOB) algorithm to min...

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Multi-Objective Particle Swarm Optimization Biclustering of Microarray Data

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