A lncRNA-disease association prediction model based on the two-step PU learning and fully connected neural networks.

Biyu, Hou; GuangWen, Tan; Ming, Zeng; Lixin, Guan; Mengshan, Li

Biyu, Hou; GuangWen, Tan; Ming, Zeng; Lixin, Guan; Mengshan, Li.

Afiliação

Biyu H; College of Physics and Electronic Information, Gannan Normal University, Ganzhou, Jiangxi, 341000, China.
GuangWen T; College of Physics and Electronic Information, Gannan Normal University, Ganzhou, Jiangxi, 341000, China.
Ming Z; College of Physics and Electronic Information, Gannan Normal University, Ganzhou, Jiangxi, 341000, China.
Lixin G; College of Physics and Electronic Information, Gannan Normal University, Ganzhou, Jiangxi, 341000, China.
Mengshan L; College of Physics and Electronic Information, Gannan Normal University, Ganzhou, Jiangxi, 341000, China.

Heliyon ; 9(7): e17726, 2023 Jul.

Article em En | MEDLINE | ID: mdl-37539215

Palavras-chave

Deep learning; PU learning; Two-step approach; lncRNA-disease association

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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