Harmonizing across datasets to improve the transferability of drug combination prediction.

Zhang, Hanrui; Wang, Ziyan; Nan, Yiyang; Zagidullin, Bulat; Yi, Daiyao; Tang, Jing; Guan, Yuanfang

Zhang, Hanrui; Wang, Ziyan; Nan, Yiyang; Zagidullin, Bulat; Yi, Daiyao; Tang, Jing; Guan, Yuanfang.

Afiliação

Zhang H; Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Wang Z; Department of Electrical Engineering and Computer Science (EECS) - CSE Division, University of Michigan, Ann Arbor, MI, USA.
Nan Y; Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Zagidullin B; Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Yi D; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Tang J; Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Guan Y; Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland. jing.tang@helsinki.fi.

Commun Biol ; 6(1): 397, 2023 04 11.

Article em En | MEDLINE | ID: mdl-37041243

Assuntos

Descoberta de Drogas; Aprendizado de Máquina; Combinação de Medicamentos; Ensaios de Triagem em Larga Escala

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Descoberta de Drogas / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Commun Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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