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

Background: 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 fro...

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Bibliographic Details
Main Authors: Mohamad, Mohd. Saberi, Omatu, Sigeru, Deris, Safaai, Yoshioka, Michifumi
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/49116/1/Mohd.SaberiMohamad2013_Anenhancementofbinaryparticle.pdf
http://eprints.utm.my/id/eprint/49116/
http://dx.doi.org/10.1186/1748-7188-8-15
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