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

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Title: Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information.
Authors: 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.; ETH AI Center, ETH Zürich, Andreasstrasse 5, Zürich 8092, Switzerland., Miranda L; Research Group Statistical Genetics, Max Planck Institute of Psychiatry, Kraepelinstraße 10, München 80804, Germany., Sükei E; Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés 28911, Spain., Li Y; Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland., Borgwardt K; Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland.; Swiss Institute for Bioinformatics (SIB), Amphipôle, Quartier UNIL-Sorge, Lausanne 1015, Switzerland.; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany., Oliver C; Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland.; Swiss Institute for Bioinformatics (SIB), Amphipôle, Quartier UNIL-Sorge, Lausanne 1015, Switzerland.; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2023 Dec 01; Vol. 39 (12).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Visonà+G%22">Visonà G</searchLink>; Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Max-Planck-Ring 4, Tübingen 72076, Germany.<br /><searchLink fieldCode="AU" term="%22Duroux+D%22">Duroux D</searchLink>; BIO3-GIGA-R Medical Genomics, University of Liège, Avenue de l'Hôpital 11, Liège 4000, Belgium.; ETH AI Center, ETH Zürich, Andreasstrasse 5, Zürich 8092, Switzerland.<br /><searchLink fieldCode="AU" term="%22Miranda+L%22">Miranda L</searchLink>; Research Group Statistical Genetics, Max Planck Institute of Psychiatry, Kraepelinstraße 10, München 80804, Germany.<br /><searchLink fieldCode="AU" term="%22Sükei+E%22">Sükei E</searchLink>; Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés 28911, Spain.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland.<br /><searchLink fieldCode="AU" term="%22Borgwardt+K%22">Borgwardt K</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland.; Swiss Institute for Bioinformatics (SIB), Amphipôle, Quartier UNIL-Sorge, Lausanne 1015, Switzerland.; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany.<br /><searchLink fieldCode="AU" term="%22Oliver+C%22">Oliver C</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland.; Swiss Institute for Bioinformatics (SIB), Amphipôle, Quartier UNIL-Sorge, Lausanne 1015, Switzerland.; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany.
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