Conference proceeding
Multi-objective Ant Colony Optimization Biclustering of Microarray Data
2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009), 424
01 Jan 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Latest microarray technique can measure the expression levels of thousands of genes under a set of conditions, and generates some large-scale microarray datasets. Biclustering can perform clustering of rows and columns of those dataset simultaneously, allowing the mining of additional information from microarray datasets which is important in bioinformatics research and biomedical applications. Since the biclustering problem is combinatorial, and multi-objective ant optimization systems present several advantages during dealing with this kind of problem. This paper proposes a novel multi-objective ant colony optimization biclustering algorithm to mine biclusters from microarray dataset. Experimental results on real dataset show that our approach can find significant biclusters of high quality
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Details
- Title
- Multi-objective Ant Colony Optimization Biclustering of Microarray Data
- Creators
- Junwan Liu - Natl Univ Deference Technol, Sch Comp, Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha, Hunan, Peoples R ChinaZhoujun Li - Beihang Univ, Natl Univ Deference Technol, Sch Comp Sci & Technol, Sch Comp, Beijing, Peoples R ChinaXiaohua Hu - Drexel UniversityYiming Chen - Hunan Agr University, Natl Univ Deference Technol, Sch Informat Sci & Technol, Sch Comp, Changsha, Peoples R China
- Contributors
- T Y Lin (Editor)X H Hu (Editor)J L Xia (Editor)T P Hong (Editor)Z Z Shi (Editor)J C Han (Editor)S Tsumoto (Editor)Z J Shen (Editor)
- Publication Details
- 2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009), 424
- Conference
- 2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009)
- Publisher
- IEEE
- Number of pages
- 3
- Grant note
- Scientific Research Fund of Hunan Provincial Education Department; Hunan Provincial Education Department 0702613 / Scientific Research Fund of Central South University of Forestry Technology 60573057 / National Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019170136504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic