A two-stage method for identifying a smaller subset of genes in microarray data
Microarray data measured by microarray are useful for cancer classification. However, it faces with several problems in selecting genes for the classification due to many irrelevant genes, noisy data, and the availability of a small number of samples compared to a huge number of genes (high-dimensio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2008
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| Subjects: | |
| Online Access: | http://eprints.utm.my/9429/ http://eprints.utm.my/9429/1/SafaaiDeris2008_ATwo-StageMethodForIdentifying.pdf |
| _version_ | 1848891844520312832 |
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| author | Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifuci |
| author_facet | Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifuci |
| author_sort | Mohamad, Mohd. Saberi |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Microarray data measured by microarray are useful for cancer classification. However, it faces with several problems in selecting genes for the classification due to many irrelevant genes, noisy data, and the availability of a small number of samples compared to a huge number of genes (high-dimensional data). Hence, this paper proposes a two-stage gene selection method to select a smaller (near-optimal) subset of informative genes that is most relevant for the cancer classification. It has two stages: 1) pre-selecting genes using a filter method to produce a subset of genes; 2) optimising the gene subset using a multi-objective hybrid method to automatically yield a smaller subset of informative genes. Two microarray data sets are used to test the effectiveness of the proposed method. Experimental results show that the performance of the proposed method is superior to other experimental methods and related previous works. |
| first_indexed | 2025-11-15T21:04:25Z |
| format | Article |
| id | utm-9429 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:04:25Z |
| publishDate | 2008 |
| publisher | Penerbit UTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-94292017-11-01T04:17:22Z http://eprints.utm.my/9429/ A two-stage method for identifying a smaller subset of genes in microarray data Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifuci QA76 Computer software Microarray data measured by microarray are useful for cancer classification. However, it faces with several problems in selecting genes for the classification due to many irrelevant genes, noisy data, and the availability of a small number of samples compared to a huge number of genes (high-dimensional data). Hence, this paper proposes a two-stage gene selection method to select a smaller (near-optimal) subset of informative genes that is most relevant for the cancer classification. It has two stages: 1) pre-selecting genes using a filter method to produce a subset of genes; 2) optimising the gene subset using a multi-objective hybrid method to automatically yield a smaller subset of informative genes. Two microarray data sets are used to test the effectiveness of the proposed method. Experimental results show that the performance of the proposed method is superior to other experimental methods and related previous works. Penerbit UTM Press 2008-12 Article PeerReviewed application/pdf en http://eprints.utm.my/9429/1/SafaaiDeris2008_ATwo-StageMethodForIdentifying.pdf Mohamad, Mohd. Saberi and Omatu, Sigeru and Deris, Safaai and Yoshioka, Michifuci (2008) A two-stage method for identifying a smaller subset of genes in microarray data. Jurnal Teknologi Maklumat, 20 (2). pp. 153-162. ISSN 0128-3790 |
| spellingShingle | QA76 Computer software Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifuci A two-stage method for identifying a smaller subset of genes in microarray data |
| title | A two-stage method for identifying a smaller subset of genes in microarray data |
| title_full | A two-stage method for identifying a smaller subset of genes in microarray data |
| title_fullStr | A two-stage method for identifying a smaller subset of genes in microarray data |
| title_full_unstemmed | A two-stage method for identifying a smaller subset of genes in microarray data |
| title_short | A two-stage method for identifying a smaller subset of genes in microarray data |
| title_sort | two-stage method for identifying a smaller subset of genes in microarray data |
| topic | QA76 Computer software |
| url | http://eprints.utm.my/9429/ http://eprints.utm.my/9429/1/SafaaiDeris2008_ATwo-StageMethodForIdentifying.pdf |