Conference proceeding
Multiobjective Optizition Shuffled Frog-leaping Biclustering
2011 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS
01 Jan 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Biclustering of DNA microarray data that can mine significant patterns to help in understanding gene regulation and interactions. This is a classical multi-objective optimization problem (MOP). Recently, many researchers have developed stochastic search methods that mimic the efficient behavior of species such as ants, bees, birds and frogs, as a means to seek faster and more robust solutions to complex optimization problems. The particle swarm optimization(PSO) is a heuristics-based optimization approach simulating the movements of a bird flock finding food. The shuffled frog leaping algorithm (SFLA) is a population-based cooperative search metaphor combining the benefits of the local search of PSO and the global shuffled of information of the complex evolution technique. This paper introduces SFL algorithm to solve biclustering of microarray data, and proposes a novel multi-objective shuffled frog leaping biclustering(MOSFLB) algorithm to mine coherent patterns from microarray data. Experimental results on two real datasets show that our approach can effectively find significant biclusters of high quality.
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Details
- Title
- Multiobjective Optizition Shuffled Frog-leaping Biclustering
- Creators
- Junwan Liu - National University of Defense TechnologyZhoujun Li - National University of Defense TechnologyXiaohua Hu - Drexel University, Information ScienceJunwan Liu - Natl Univ Def Technol, Sch Comp, Changsha, Hunan, Peoples R ChinaYiming Chen - National University of Defense Technology
- Publication Details
- 2011 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS
- Series
- IEEE International Conference on Bioinformatics and Biomedicine Workshop-BIBMW
- Publisher
- IEEE
- Number of pages
- 6
- Grant note
- 60973105 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) SKLSDE-2011ZX-03 / fund of the State Key Laboratory of Software Development Environment 09A105 / Scientific Research Fund of Hunan Provincial Education Department; Hunan Provincial Education Department 104-0177 / Talents Import Fund of Central South University of Forestry and Technology
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000407067100021
- Scopus ID
- 2-s2.0-84862945632
- Other Identifier
- 991019170544404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Mathematical & Computational Biology