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Machine Learning-based Framework Develops a Tumor Thrombus Coagulation Signature in Multicenter Cohorts for Renal Cancer.
Feng, Tao; Wang, Yue; Zhang, Wei; Cai, Tingting; Tian, Xi; Su, Jiaqi; Zhang, Zihao; Zheng, Shengfeng; Ye, Shiqi; Dai, Bo; Wang, Ziliang; Zhu, Yiping; Zhang, Hailiang; Chang, Kun; Ye, Dingwei.
Afiliación
  • Feng T; Qingdao Institute, School of Life Medicine, Department of Urology, Fudan University Shanghai Cancer Center, Fudan University, Qingdao, 266500, China.
  • Wang Y; Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China.
  • Zhang W; Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China.
  • Cai T; Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China.
  • Tian X; Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China.
  • Su J; Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China.
  • Zhang Z; Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China.
  • Zheng S; Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China.
  • Ye S; Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China.
  • Dai B; Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China.
  • Wang Z; Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China.
  • Zhu Y; Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China.
  • Zhang H; Department of Urology, Fudan University Shanghai Cancer Center, No. 270 Dong'an Road, Shanghai, 200032, People's Republic of China.
  • Chang K; Qingdao Institute, School of Life Medicine, Department of Urology, Fudan University Shanghai Cancer Center, Fudan University, Qingdao, 266500, China.
  • Ye D; Department of Urology, State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200433, China.
Int J Biol Sci ; 20(9): 3590-3620, 2024.
Article en En | MEDLINE | ID: mdl-38993563
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Texto completo: 1 Colección: 01-internacional Asunto principal: Carcinoma de Células Renales / Aprendizaje Automático / Neoplasias Renales Límite: Humans Idioma: En Revista: Int J Biol Sci Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Asunto principal: Carcinoma de Células Renales / Aprendizaje Automático / Neoplasias Renales Límite: Humans Idioma: En Revista: Int J Biol Sci Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China