Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information.

Visonà, Giovanni; Duroux, Diane; Miranda, Lucas; Sükei, Emese; Li, Yiran; Borgwardt, Karsten; Oliver, Carlos

Visonà, Giovanni; Duroux, Diane; Miranda, Lucas; Sükei, Emese; Li, Yiran; Borgwardt, Karsten; Oliver, Carlos.

Afiliação

Visonà G; Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Max-Planck-Ring 4, Tübingen 72076, Germany.
Duroux D; BIO3-GIGA-R Medical Genomics, University of Liège, Avenue de l'Hôpital 11, Liège 4000, Belgium.
Miranda L; ETH AI Center, ETH Zürich, Andreasstrasse 5, Zürich 8092, Switzerland.
Sükei E; Research Group Statistical Genetics, Max Planck Institute of Psychiatry, Kraepelinstraße 10, München 80804, Germany.
Li Y; Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés 28911, Spain.
Borgwardt K; Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland.
Oliver C; Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland.

Bioinformatics ; 39(12)2023 12 01.

Article em En | MEDLINE | ID: mdl-38001023

Assuntos

Antibacterianos; Proteômica; Farmacorresistência Bacteriana; Aprendizado de Máquina

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Proteômica / Antibacterianos Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

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