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Improved MALDI-TOF MS based antimicrobial resistance prediction through hierarchical stratification

View ORCID ProfileCaroline Weis, View ORCID ProfileBastian Rieck, Sebastian Balzer, Aline Cuénod, Adrian Egli, View ORCID ProfileKarsten Borgwardt
doi: https://doi.org/10.1101/2022.04.13.488198
Caroline Weis
1Machine Learning and Computational Biology Lab, D-BSSE, ETH Zurich, Switzerland
2SIB Swiss Institute of Bioinformatics, Switzerland
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  • ORCID record for Caroline Weis
  • For correspondence: caroline.weis@bsse.ethz.ch karsten.borgwardt@bsse.ethz.ch
Bastian Rieck
1Machine Learning and Computational Biology Lab, D-BSSE, ETH Zurich, Switzerland
2SIB Swiss Institute of Bioinformatics, Switzerland
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  • ORCID record for Bastian Rieck
Sebastian Balzer
1Machine Learning and Computational Biology Lab, D-BSSE, ETH Zurich, Switzerland
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Aline Cuénod
3Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland
4Division of Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland
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Adrian Egli
3Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland
4Division of Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland
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Karsten Borgwardt
1Machine Learning and Computational Biology Lab, D-BSSE, ETH Zurich, Switzerland
2SIB Swiss Institute of Bioinformatics, Switzerland
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  • ORCID record for Karsten Borgwardt
  • For correspondence: caroline.weis@bsse.ethz.ch karsten.borgwardt@bsse.ethz.ch
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Posted April 14, 2022.
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Improved MALDI-TOF MS based antimicrobial resistance prediction through hierarchical stratification
Caroline Weis, Bastian Rieck, Sebastian Balzer, Aline Cuénod, Adrian Egli, Karsten Borgwardt
bioRxiv 2022.04.13.488198; doi: https://doi.org/10.1101/2022.04.13.488198
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Improved MALDI-TOF MS based antimicrobial resistance prediction through hierarchical stratification
Caroline Weis, Bastian Rieck, Sebastian Balzer, Aline Cuénod, Adrian Egli, Karsten Borgwardt
bioRxiv 2022.04.13.488198; doi: https://doi.org/10.1101/2022.04.13.488198

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