Collaborative analysis for drug discovery by federated learning on non-IID data.

Huang, Dong; Ye, Xiucai; Zhang, Ying; Sakurai, Tetsuya

Huang, Dong; Ye, Xiucai; Zhang, Ying; Sakurai, Tetsuya.

Afiliação

Huang D; Department of Computer Science, University of Tsukuba, Tsukuba 3058577, Japan.
Ye X; Department of Computer Science, University of Tsukuba, Tsukuba 3058577, Japan. Electronic address: yexiucai@cs.tsukuba.ac.jp.
Zhang Y; Beidahuang Industry Group General Hospital, Harbin, China. Electronic address: zhangybiggh@yeah.net.
Sakurai T; Department of Computer Science, University of Tsukuba, Tsukuba 3058577, Japan.

Methods ; 219: 1-7, 2023 11.

Article em En | MEDLINE | ID: mdl-37689121

Assuntos

Benchmarking; Descoberta de Drogas

Palavras-chave

Collaborative analysis; Drug discovery; Federated learning; Non-IID dataset; Quantitative structureactivity relationship

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benchmarking / Descoberta de Drogas Tipo de estudo: Prognostic_studies Idioma: En Revista: Methods Assunto da revista: BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão

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