Constructing metabolism-protein interaction relationship to identify glioma prognosis using deep learning.

Lai, Qingpei; Liu, Xiang; Yang, Fan; Li, Jie; Xie, Yaoqin; Qin, Wenjian

Lai, Qingpei; Liu, Xiang; Yang, Fan; Li, Jie; Xie, Yaoqin; Qin, Wenjian.

Afiliación

Lai Q; Shenzhen Institute of Advanced Technology, Chinese Academy of Science, 518055, Shenzhen, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, 518055, Shenzhen, China.
Liu X; Shenzhen Institute of Advanced Technology, Chinese Academy of Science, 518055, Shenzhen, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, 518055, Shenzhen, China.
Yang F; Shenzhen Institute of Advanced Technology, Chinese Academy of Science, 518055, Shenzhen, China.
Li J; Department of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 210008, Nanjing, Jiangsu, China.
Xie Y; Shenzhen Institute of Advanced Technology, Chinese Academy of Science, 518055, Shenzhen, China.
Qin W; Shenzhen Institute of Advanced Technology, Chinese Academy of Science, 518055, Shenzhen, China. Electronic address: wj.qin@siat.ac.cn.

Comput Biol Med ; 158: 106875, 2023 05.

Article en En | MEDLINE | ID: mdl-37058759

Asunto(s)

Aprendizaje Profundo; Glioma; Humanos; Perfilación de la Expresión Génica/métodos; Glioma/genética; Glioma/metabolismo

Palabras clave

Glioma; Metabolic-protein interaction; Prognostic heterogeneity

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Glioma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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