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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Detalles Bibliográficos
Autores principales: Huang, Yin-Fu, Wang, Chia-Ming, Liou, Sing-Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662175/
https://www.ncbi.nlm.nih.gov/pubmed/23737711
http://dx.doi.org/10.1155/2013/249034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662175/
https://www.ncbi.nlm.nih.gov/pubmed/23737711
http://dx.doi.org/10.1155/2013/249034

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