An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes from the data f...
Main Authors: | Mohd Saberi, Mohamad, Sigeru, Omatu, Safaai, Deris, Yoshioka, Michifumi, Afnizanfaizal, Abdullah, Zuwairie, Ibrahim |
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Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd.
2013
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/1/An%20enhancement%20of%20binary%20particle%20swarm%20optimization.pdf |
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