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IMAGGS: a radiogenomic framework for identifying multi-way associations in breast cancer subtypes.
Liang, Shuyu; Xu, Sicheng; Zhou, Shichong; Chang, Cai; Shao, Zhiming; Wang, Yuanyuan; Chen, Sheng; Huang, Yunxia; Guo, Yi.
Afiliación
  • Liang S; Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China; The Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai 200032, China.
  • Xu S; Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai 200433, China.
  • Zhou S; Department of Ultrasound, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
  • Chang C; Department of Ultrasound, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
  • Shao Z; Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
  • Wang Y; Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China; The Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai 200032, China.
  • Chen S; Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China. Electronic address: 0456177@fudan.edu.cn.
  • Huang Y; Department of Ultrasound, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China. Electronic address: applewinwin@sina.com.
  • Guo Y; Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China; The Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai 200032, China. Electronic address: guoyi@fudan.edu.cn.
J Genet Genomics ; 51(4): 443-453, 2024 Apr.
Article en En | MEDLINE | ID: mdl-37783335
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: J Genet Genomics Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: J Genet Genomics Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: China