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.

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BP-ANN for fitting the temperature-germination model and its application in predicting sowing time and region for Bermudagrass.Role of peroxisome proliferator-activated receptors gene polymorphisms in type 2 diabetes and metabolic syndrome.

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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.

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articolo scientifico

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bilimsel makale

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scientific article published on 20 March 2013

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Application of the back-error ...... e in a Chinese Han population.

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Application of the back-error propagation artificial neural network

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Application of the back-error ...... e in a Chinese Han population.

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Application of the back-error propagation artificial neural network

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Application of the back-error ...... e in a Chinese Han population.

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Application of the back-error propagation artificial neural network

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Application of the back-error ...... e in a Chinese Han population.

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Hui Shi

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Jianhua Ma

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Jinluo Cheng

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Juan Du

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Kang Xu

http://www.w3.org/2001/XMLSchema#string

Ling Zhou

http://www.w3.org/2001/XMLSchema#string

Qian Li

http://www.w3.org/2001/XMLSchema#string

Qing Ye

http://www.w3.org/2001/XMLSchema#string

Wencong Du

http://www.w3.org/2001/XMLSchema#string

Xiaofang Yu

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10.7555/JBR.27.20120061

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metabolic syndrome

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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.

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P2860

P2860

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.

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