Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning.

Wu, Hao; Zhou, Bing; Zhou, Haoru; Zhang, Pengyu; Wang, Meili

Wu, Hao; Zhou, Bing; Zhou, Haoru; Zhang, Pengyu; Wang, Meili.

Afiliação

Wu H; College of Information Engineering, Northwest A&F University, Yangling, 712100 Shaanxi, China.
Zhou B; School of Software, Shandong University, Jinan, 250101 Shandong, China.
Zhou H; College of Information Engineering, Northwest A&F University, Yangling, 712100 Shaanxi, China.
Zhang P; College of Information Engineering, Northwest A&F University, Yangling, 712100 Shaanxi, China.
Wang M; College of Information Engineering, Northwest A&F University, Yangling, 712100 Shaanxi, China.

Brief Funct Genomics ; 22(5): 475-484, 2023 11 10.

Article em En | MEDLINE | ID: mdl-37133976

Assuntos

Cromatina; Cromossomos; Mapeamento Cromossômico; Redes Neurais de Computação; Aprendizado de Máquina

Palavras-chave

Hi-C data; bagging ensemble learning; chromatin interactions; chromatin loops

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatina / Cromossomos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Funct Genomics Ano de publicação: 2023 Tipo de documento: Article

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