Using a stacked ensemble learning framework to predict modulators of protein-protein interactions.

Gao, Mengyao; Zhao, Lingling; Zhang, Zitong; Wang, Junjie; Wang, Chunyu

Gao, Mengyao; Zhao, Lingling; Zhang, Zitong; Wang, Junjie; Wang, Chunyu.

Afiliação

Gao M; Faculty of Computing, Harbin Institute of Technology, Harbin, China. Electronic address: 120L021201@stu.hit.edu.cn.
Zhao L; Faculty of Computing, Harbin Institute of Technology, Harbin, China. Electronic address: zhaoll@hit.edu.cn.
Zhang Z; Faculty of Computing, Harbin Institute of Technology, Harbin, China. Electronic address: 22b903082@stu.hit.edu.cn.
Wang J; School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China. Electronic address: junjie2021@njmu.edu.cn.
Wang C; Faculty of Computing, Harbin Institute of Technology, Harbin, China. Electronic address: chunyu@hit.edu.cn.

Comput Biol Med ; 161: 107032, 2023 07.

Article em En | MEDLINE | ID: mdl-37230018

Assuntos

Aprendizado de Máquina; Algoritmo Florestas Aleatórias; Descoberta de Drogas

Palavras-chave

Bioinformation; Drug discovery; Machine learning (ML); Proteinprotein interaction modulators (PPIMs)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Algoritmo Florestas Aleatórias Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Biol Med Ano de publicação: 2023 Tipo de documento: Article País de publicação: Estados Unidos

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