A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification

A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification

The application of microarray data for cancer classification has recently gained in popularity. The main problem that needs to be addressed is the selection of a smaller subset of genes from the thousands of genes in the data that contributes to a disease. This selection process is difficult because...

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Bibliographic Details
Main Authors: Mohamad, Mohd. Saberi, Omatu, Sigeru, Deris, Safaai, Yoshioka, Michifuci, Zainal, Anazida
Format: Article
Language:English
Published: Penerbit UTM Press 2008
Subjects:
QA75 Electronic computers. Computer science
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/8192/1/AnazidaZainal2008_ANewBinaryParticleSwarmOptimizer.pdf
http://eprints.utm.my/id/eprint/8192/
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/8192/1/AnazidaZainal2008_ANewBinaryParticleSwarmOptimizer.pdf
http://eprints.utm.my/id/eprint/8192/

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