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An integrated strategy combining metabolomics and machine learning for the evaluation of bioactive markers that differentiate various bile.
Li, Xinyue; Liang, ChenRui; Su, Rui; Wang, Xiang; Yao, Yaqi; Ding, Haoran; Zhou, Guanru; Luo, Zhanglong; Zhang, Han; Li, Yubo.
Afiliação
  • Li X; State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Liang C; Key Laboratory of Pharmacology of Traditional Chinese Medicine Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Su R; School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Wang X; State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Yao Y; Key Laboratory of Pharmacology of Traditional Chinese Medicine Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Ding H; State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Zhou G; Key Laboratory of Pharmacology of Traditional Chinese Medicine Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Luo Z; School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Zhang H; School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Li Y; Pharmacy Faculty, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Front Chem ; 10: 1005843, 2022.
Article em En | MEDLINE | ID: mdl-36339047
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Chem Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Chem Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China