An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes

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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...

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Bibliographic Details
Main Authors:	Mohd Saberi, Mohamad, Sigeru, Omatu, Safaai, Deris, Yoshioka, Michifumi, Afnizanfaizal, Abdullah, Zuwairie, Ibrahim
Format:	Article
Language:	English
Published:	BioMed Central Ltd. 2013
Subjects:	TJ Mechanical engineering and machinery
Online Access:	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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