Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation Algorithms
A hybrid self-adaptive harmony search and back-propagation mining system was proposed to discover weighted patterns in human intron sequences. By testing the weights under a lazy nearest neighbor classifier, the numerical results revealed the significance of these weighted patterns. Comparing these...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/249034 |
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| author | Yin-Fu Huang Chia-Ming Wang Sing-Wu Liou |
| author_facet | Yin-Fu Huang Chia-Ming Wang Sing-Wu Liou |
| author_sort | Yin-Fu Huang |
| collection | DOAJ |
| description | A hybrid self-adaptive harmony search and back-propagation mining system was proposed to discover weighted patterns in human intron sequences. By testing the weights under a lazy nearest neighbor classifier, the numerical results revealed the significance of these weighted patterns. Comparing these weighted patterns with the popular intron consensus model, it is clear that the discovered weighted patterns make originally the ambiguous 5SS and 3SS header patterns more specific and concrete. |
| format | Article |
| id | doaj-art-d54a22ed87a74997991829c190720081 |
| institution | OA Journals |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-d54a22ed87a74997991829c1907200812025-08-20T02:19:58ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/249034249034Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation AlgorithmsYin-Fu Huang0Chia-Ming Wang1Sing-Wu Liou2Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliu, Yunlin 640, TaiwanGraduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliu, Yunlin 640, TaiwanSupercomputing Research Center, National Chen Kung University, 1 University Road, Tainan, 70101, TaiwanA hybrid self-adaptive harmony search and back-propagation mining system was proposed to discover weighted patterns in human intron sequences. By testing the weights under a lazy nearest neighbor classifier, the numerical results revealed the significance of these weighted patterns. Comparing these weighted patterns with the popular intron consensus model, it is clear that the discovered weighted patterns make originally the ambiguous 5SS and 3SS header patterns more specific and concrete.http://dx.doi.org/10.1155/2013/249034 |
| spellingShingle | Yin-Fu Huang Chia-Ming Wang Sing-Wu Liou Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation Algorithms The Scientific World Journal |
| title | Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation Algorithms |
| title_full | Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation Algorithms |
| title_fullStr | Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation Algorithms |
| title_full_unstemmed | Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation Algorithms |
| title_short | Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation Algorithms |
| title_sort | discovering weighted patterns in intron sequences using self adaptive harmony search and back propagation algorithms |
| url | http://dx.doi.org/10.1155/2013/249034 |
| work_keys_str_mv | AT yinfuhuang discoveringweightedpatternsinintronsequencesusingselfadaptiveharmonysearchandbackpropagationalgorithms AT chiamingwang discoveringweightedpatternsinintronsequencesusingselfadaptiveharmonysearchandbackpropagationalgorithms AT singwuliou discoveringweightedpatternsinintronsequencesusingselfadaptiveharmonysearchandbackpropagationalgorithms |