Towards artificial intelligence to multi-omics characterization of tumor heterogeneity in esophageal cancer.

Li, Junyu; Li, Lin; You, Peimeng; Wei, Yiping; Xu, Bin

Li, Junyu; Li, Lin; You, Peimeng; Wei, Yiping; Xu, Bin.

Afiliação

Li J; Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang 330029, Jiangxi, China; Jiangxi Health Committee Key (JHCK) Laboratory of Tumor Metastasis, Jiangxi Cancer Hospital, Nanchang 330029, Jiangxi, China.
Li L; Department of Thoracic Oncology, Jiangxi Cancer Hospital, Nanchang 330029, Jiangxi, China.
You P; Nanchang University, Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang 330029, Jiangxi, China.
Wei Y; Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China. Electronic address: ndefy08025@ncu.edu.cn.
Xu B; Jiangxi Health Committee Key (JHCK) Laboratory of Tumor Metastasis, Jiangxi Cancer Hospital, Nanchang 330029, Jiangxi, China. Electronic address: 469996535@qq.com.

Semin Cancer Biol ; 91: 35-49, 2023 06.

Article em En | MEDLINE | ID: mdl-36868394

Assuntos

Inteligência Artificial; Neoplasias Esofágicas; Humanos; Multiômica; Medicina de Precisão/métodos; Genômica/métodos; Neoplasias Esofágicas/genética

Palavras-chave

Artificial intelligence; Esophageal cancer; Multi-omics; Tumor heterogeneity; Tumor microenvironment

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Inteligência Artificial Limite: Humans Idioma: En Revista: Semin Cancer Biol Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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