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Construction of Two Independent RAB Family-Based Scoring Systems Based on Machine Learning Algorithms and Definition of RAB13 as a Novel Therapeutic Target for Hepatocellular Carcinoma.
Jiang, Chenhao; Liu, Zijian; Yuan, Jingsheng; Wu, Zhenru; Kong, Lingxiang; Yang, Jiayin; Lv, Tao.
Afiliación
  • Jiang C; Department of Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, China.
  • Liu Z; Laboratory of Liver Transplantation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital of Sichuan University, Chengdu 610041, China.
  • Yuan J; Department of Radiation Oncology, Cancer Center, West China Hospital of Sichuan University, Chengdu 610041, China.
  • Wu Z; Department of Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, China.
  • Kong L; Laboratory of Liver Transplantation, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital of Sichuan University, Chengdu 610041, China.
  • Yang J; Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital of Sichuan University, Chengdu 610041, China.
  • Lv T; Department of Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, China.
Int J Mol Sci ; 24(5)2023 Feb 22.
Article en En | MEDLINE | ID: mdl-36901767

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal Asunto principal: Carcinoma Hepatocelular / Neoplasias Hepáticas Tipo de estudio: Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal Asunto principal: Carcinoma Hepatocelular / Neoplasias Hepáticas Tipo de estudio: Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2023 Tipo del documento: Article País de afiliación: China
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