Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study
Expressed Sequence Tag (EST) plays an important role in discovering the full length of a gene. Therefore clustering of ESTs remains an interesting area for further exploration. We investigate several available clustering algorithms, and then we propose and evaluate an unsuperivsed clustering method...
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| Format: | Conference or Workshop Item |
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2008
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| Online Access: | http://shdl.mmu.edu.my/2836/ |
| _version_ | 1848790162472960000 |
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| author | Ng, Keng Hoong Somnuk, Phon Amnuaisuk Ho, Chin Kuan |
| author_facet | Ng, Keng Hoong Somnuk, Phon Amnuaisuk Ho, Chin Kuan |
| author_sort | Ng, Keng Hoong |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Expressed Sequence Tag (EST) plays an important role in discovering the full length of a gene. Therefore clustering of ESTs remains an interesting area for further exploration. We investigate several available clustering algorithms, and then we propose and evaluate an unsuperivsed clustering method that uses Markov models and Se self-organizing maps. The initial evaluation of the method gives satisfactory result, where its clustering accuracy is up to 80.08%. |
| first_indexed | 2025-11-14T18:08:14Z |
| format | Conference or Workshop Item |
| id | mmu-2836 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:14Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-28362023-04-12T08:18:25Z http://shdl.mmu.edu.my/2836/ Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study Ng, Keng Hoong Somnuk, Phon Amnuaisuk Ho, Chin Kuan T Technology (General) QA75.5-76.95 Electronic computers. Computer science Expressed Sequence Tag (EST) plays an important role in discovering the full length of a gene. Therefore clustering of ESTs remains an interesting area for further exploration. We investigate several available clustering algorithms, and then we propose and evaluate an unsuperivsed clustering method that uses Markov models and Se self-organizing maps. The initial evaluation of the method gives satisfactory result, where its clustering accuracy is up to 80.08%. 2008-08 Conference or Workshop Item NonPeerReviewed Ng, Keng Hoong and Somnuk, Phon Amnuaisuk and Ho, Chin Kuan (2008) Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study. In: International Symposium on Information Technology , 26-29 AUG 2008 , Univ Kebangsaan, Fac Informat Sci & Technol, Kuala Lumpur, MALAYSIA. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=V1OJnefKFf4@FFPHd@m&page=87&doc=870 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Ng, Keng Hoong Somnuk, Phon Amnuaisuk Ho, Chin Kuan Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study |
| title | Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study |
| title_full | Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study |
| title_fullStr | Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study |
| title_full_unstemmed | Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study |
| title_short | Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study |
| title_sort | clustering of expressed sequence tag (est) with markov models and self-organizing maps: an exploratory study |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2836/ http://shdl.mmu.edu.my/2836/ |