Improving cancer driver gene identification using multi-task learning on graph convolutional network.

Peng, Wei; Tang, Qi; Dai, Wei; Chen, Tielin

Peng, Wei; Tang, Qi; Dai, Wei; Chen, Tielin.

Afiliação

Peng W; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, P. R. China.
Tang Q; Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology, Kunming, Yunnan 650500, P. R. China.
Dai W; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, P. R. China.
Chen T; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, P. R. China.

Brief Bioinform ; 23(1)2022 01 17.

Article em En | MEDLINE | ID: mdl-34643232

Assuntos

Neoplasias; Mapas de Interação de Proteínas; Teorema de Bayes; Humanos; Aprendizagem; Neoplasias/genética; Oncogenes

Palavras-chave

cancer driver genes; cancer genes; graph convolutional neural network; multi-task learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapas de Interação de Proteínas / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article

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