Application of the back-error propagation artificial neural network (BPANN) on genetic variants in the PPAR-γ and RXR-α gene and risk of metabolic syndrome in a Chinese Han population

This study was aimed to explore the associations between the combined effects of several polymorphisms in the PPAR-γ and RXR-α gene and environmental factors with the risk of metabolic syndrome by back-error propagation artificial neural network (BPANN). We established the model based on data gather...

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Detalles Bibliográficos
Autores principales: Zhao, Xu, Xu, Kang, Shi, Hui, Cheng, Jinluo, Ma, Jianhua, Gao, Yanqin, Li, Qian, Ye, Xinhua, Lu, Ying, Yu, Xiaofang, Du, Juan, Du, Wencong, Ye, Qing, Zhou, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Department of Journal of Biomedical Research 2014
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968282/
https://www.ncbi.nlm.nih.gov/pubmed/24683409
http://dx.doi.org/10.7555/JBR.27.20120061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968282/
https://www.ncbi.nlm.nih.gov/pubmed/24683409
http://dx.doi.org/10.7555/JBR.27.20120061

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