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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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
2013
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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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