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Optimization scheme of machine learning model for genetic division between northern Han, southern Han, Korean and Japanese.
Kong, Yong-Qiang; Liu, Jin-Kai; Gu, Jia-Qi; Xu, Jing-Yi; Zheng, Yu-Nuo; Wei, Yi-Liang; Wu, Shao-Yuan.
Afiliación
  • Kong YQ; Key Laboratory of Tianjin for Epigenetics, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
  • Liu JK; Key Laboratory of Tianjin for Epigenetics, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
  • Gu JQ; Key Laboratory of Phylogeny and Comparative Genomics of Jiangsu Province, Jiangsu Normal University, Xuzhou 221116, China.
  • Xu JY; Key Laboratory of Tianjin for Epigenetics, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
  • Zheng YN; Key Laboratory of Phylogeny and Comparative Genomics of Jiangsu Province, Jiangsu Normal University, Xuzhou 221116, China.
  • Wei YL; Key Laboratory of Phylogeny and Comparative Genomics of Jiangsu Province, Jiangsu Normal University, Xuzhou 221116, China.
  • Wu SY; Key Laboratory of Tianjin for Epigenetics, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Yi Chuan ; 44(11): 1028-1043, 2022 Nov 20.
Article en En | MEDLINE | ID: mdl-36384995
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pueblo Asiatico / Aprendizaje Automático / Genética de Población Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Yi Chuan Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pueblo Asiatico / Aprendizaje Automático / Genética de Población Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Yi Chuan Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: China