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A deep convolutional neural network approach for predicting phenotypes from genotypes.
Ma, Wenlong; Qiu, Zhixu; Song, Jie; Li, Jiajia; Cheng, Qian; Zhai, Jingjing; Ma, Chuang.
Afiliación
  • Ma W; State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Qiu Z; Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Song J; State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Li J; Biomass Energy Center for Arid and Semi-arid Lands, Northwest A&F University, Shaanxi, 712100, Yangling, China.
  • Cheng Q; State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Zhai J; Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Ma C; State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Planta ; 248(5): 1307-1318, 2018 Nov.
Article en En | MEDLINE | ID: mdl-30101399
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Plantas / Redes Neurales de la Computación / Estudios de Asociación Genética Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Planta Año: 2018 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Plantas / Redes Neurales de la Computación / Estudios de Asociación Genética Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Planta Año: 2018 Tipo del documento: Article País de afiliación: China