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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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2008
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| Online Access: | http://eprints.utm.my/8192/ http://eprints.utm.my/8192/1/AnazidaZainal2008_ANewBinaryParticleSwarmOptimizer.pdf |
| _version_ | 1848891637260877824 |
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| author | Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifuci Zainal, Anazida |
| author_facet | Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifuci Zainal, Anazida |
| author_sort | Mohamad, Mohd. Saberi |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | 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 of the availability of the small number of samples compared to the huge number of genes, many irrelevant genes, and noisy genes. Therefore, this paper proposes an improved binary particle swarm optimization to select a near-optimal (smaller) subset of informative genes that is relevant for cancer classification. Experimental results show that the performance of the proposed method is superior to the experimental method and other related previous works in terms of classification accuracy and the number of selected genes. |
| first_indexed | 2025-11-15T21:01:08Z |
| format | Article |
| id | utm-8192 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:01:08Z |
| publishDate | 2008 |
| publisher | Penerbit UTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-81922017-11-01T04:17:24Z http://eprints.utm.my/8192/ A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifuci Zainal, Anazida QA75 Electronic computers. Computer science QA Mathematics 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 of the availability of the small number of samples compared to the huge number of genes, many irrelevant genes, and noisy genes. Therefore, this paper proposes an improved binary particle swarm optimization to select a near-optimal (smaller) subset of informative genes that is relevant for cancer classification. Experimental results show that the performance of the proposed method is superior to the experimental method and other related previous works in terms of classification accuracy and the number of selected genes. Penerbit UTM Press 2008 Article PeerReviewed application/pdf en http://eprints.utm.my/8192/1/AnazidaZainal2008_ANewBinaryParticleSwarmOptimizer.pdf Mohamad, Mohd. Saberi and Omatu, Sigeru and Deris, Safaai and Yoshioka, Michifuci and Zainal, Anazida (2008) A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification. Jurnal Teknologi Maklumat, 20 (4). pp. 155-162. ISSN 0128-3790 |
| spellingShingle | QA75 Electronic computers. Computer science QA Mathematics Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifuci Zainal, Anazida A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification |
| title | A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification |
| title_full | A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification |
| title_fullStr | A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification |
| title_full_unstemmed | A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification |
| title_short | A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification |
| title_sort | new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification |
| topic | QA75 Electronic computers. Computer science QA Mathematics |
| url | http://eprints.utm.my/8192/ http://eprints.utm.my/8192/1/AnazidaZainal2008_ANewBinaryParticleSwarmOptimizer.pdf |