GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction.

Liu, Xuan; Song, Congzhi; Huang, Feng; Fu, Haitao; Xiao, Wenjie; Zhang, Wen

Liu, Xuan; Song, Congzhi; Huang, Feng; Fu, Haitao; Xiao, Wenjie; Zhang, Wen.

Afiliación

Liu X; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
Song C; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
Huang F; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
Fu H; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
Xiao W; Information School, University of Washington, Washington, 98105, USA.
Zhang W; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.

Brief Bioinform ; 23(1)2022 01 17.

Article en En | MEDLINE | ID: mdl-34727569

Asunto(s)

Antineoplásicos; Neoplasias; Antineoplásicos/farmacología; Antineoplásicos/uso terapéutico; Humanos; Aprendizaje Automático; Neoplasias/tratamiento farmacológico; Redes Neurales de la Computación

Palabras clave

Cancer drug response prediction; Contrastive learning; Drug structure; Graph neural network; Multi-omics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias / Antineoplásicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China

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