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

• 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/
• Institution: Universiti Teknologi Malaysia

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...