Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data
Gene expression microarray data is expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. One problem arising from this data is how to select a small subset of genes from thousands of genes and much fewer samples that are inherently noisy. This r...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2005
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| Online Access: | http://eprints.utm.my/21814/1/MohdSaberiMohamad2005_Applying_Filter_Approach_Genetic_Alg.pdf |
| _version_ | 1796855907744743424 |
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| author | Mohamad, Mohd. Saberi |
| author_facet | Mohamad, Mohd. Saberi |
| author_sort | Mohamad, Mohd. Saberi |
| collection | ePrints |
| description | Gene expression microarray data is expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. One problem arising from this data is how to select a small subset of genes from thousands of genes and much fewer samples that are inherently noisy. This research deals with finding a small subset of informative genes from the gene expression data which maximize the classification accuracy and minimize the running time. This paper proposed a model of gene expression classification by using filter approach and an improved Genetic Algorithm wrapper approach. We show that the classification accuracy and execution time of the proposed model are useful for cancer classification of two widely used gene expression benchmark data sets. |
| first_indexed | 2024-03-05T18:35:33Z |
| format | Conference or Workshop Item |
| id | utm.eprints-21814 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:35:33Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | utm.eprints-218142017-08-29T06:16:30Z http://eprints.utm.my/21814/ Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data Mohamad, Mohd. Saberi QA75 Electronic computers. Computer science Gene expression microarray data is expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. One problem arising from this data is how to select a small subset of genes from thousands of genes and much fewer samples that are inherently noisy. This research deals with finding a small subset of informative genes from the gene expression data which maximize the classification accuracy and minimize the running time. This paper proposed a model of gene expression classification by using filter approach and an improved Genetic Algorithm wrapper approach. We show that the classification accuracy and execution time of the proposed model are useful for cancer classification of two widely used gene expression benchmark data sets. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/21814/1/MohdSaberiMohamad2005_Applying_Filter_Approach_Genetic_Alg.pdf Mohamad, Mohd. Saberi (2005) Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data. In: International Symposium on Bio-Inspired Computing (BIC'05),, 2005, Puteri Pan Pacific Hotel, Johor Bahru. https://www.academia.edu/1565896/Applying_Filter_Approach_and_Genetic_Algorithm_Wrapper_for_Gene_Selection_from_Gene_Expression_Data?auto=download |
| spellingShingle | QA75 Electronic computers. Computer science Mohamad, Mohd. Saberi Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data |
| title | Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data |
| title_full | Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data |
| title_fullStr | Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data |
| title_full_unstemmed | Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data |
| title_short | Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data |
| title_sort | applying filter approach and genetic algorithm wrapper for gene selection from gene expression data |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/21814/1/MohdSaberiMohamad2005_Applying_Filter_Approach_Genetic_Alg.pdf |
| work_keys_str_mv | AT mohamadmohdsaberi applyingfilterapproachandgeneticalgorithmwrapperforgeneselectionfromgeneexpressiondata |