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Prediction of Ovarian Cancer-Related Metabolites Based on Graph Neural Network.
Chen, Jingjing; Chen, Yingying; Sun, Kefeng; Wang, Yu; He, Hui; Sun, Lin; Ha, Sifu; Li, Xiaoxiao; Ou, Yifei; Zhang, Xue; Bi, Yanli.
Afiliação
  • Chen J; Department of Obstetrics and Gynecology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
  • Chen Y; Department of Obstetrics and Gynecology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
  • Sun K; Department of Obstetrics and Gynecology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
  • Wang Y; Department of Obstetrics and Gynecology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
  • He H; Department of Obstetrics and Gynecology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
  • Sun L; Department of Reproductive Medicine, Dalian Maternal and Children's Centre, Dalian, China.
  • Ha S; Department of Reproductive Medicine, Dalian Maternal and Children's Centre, Dalian, China.
  • Li X; Graduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
  • Ou Y; Graduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
  • Zhang X; Department of General Practice, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Bi Y; Department of Reproductive Medicine, The First Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, China.
Front Cell Dev Biol ; 9: 753221, 2021.
Article em En | MEDLINE | ID: mdl-34676219
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cell Dev Biol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cell Dev Biol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China