Comparison of Classification Algorithms with Wrapper-Based Feature Selection for Predicting Osteoporosis Outcome Based on Genetic Factors in a Taiwanese Women Population

An essential task in a genomic analysis of a human disease is limiting the number of strongly associated genes when studying susceptibility to the disease. The goal of this study was to compare computational tools with and without feature selection for predicting osteoporosis outcome in Taiwanese wo...

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Detalles Bibliográficos
Autores principales: Chang, Hsueh-Wei, Chiu, Yu-Hsien, Kao, Hao-Yun, Yang, Cheng-Hong, Ho, Wen-Hsien
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/PMC3557627/
https://www.ncbi.nlm.nih.gov/pubmed/23401685
http://dx.doi.org/10.1155/2013/850735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557627/
https://www.ncbi.nlm.nih.gov/pubmed/23401685
http://dx.doi.org/10.1155/2013/850735

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