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Machine learning prediction of resistance to sub-inhibitory antimicrobial concentrations from Escherichia coli genomes
Sam Benkwitz-Bedford, View ORCID ProfileMartin Palm, Talip Yasir Demirtas, Ville Mustonen, View ORCID ProfileAnne Farewell, Jonas Warringer, View ORCID ProfileDanesh Moradigaravand, Leopold Parts
doi: https://doi.org/10.1101/2021.03.26.437296
Sam Benkwitz-Bedford
1Center for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
Martin Palm
2Department for Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden, Centre for Antibiotic Resistance Research at the University of Gothenburg, Gothenburg, Sweden
Talip Yasir Demirtas
1Center for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
Ville Mustonen
3Organismal and Evolutionary Biology Research Programme, Department of Computer Science, Institute of Biotechnology, University of Helsinki, Helsinki, Finland
Anne Farewell
2Department for Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden, Centre for Antibiotic Resistance Research at the University of Gothenburg, Gothenburg, Sweden
Jonas Warringer
2Department for Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden, Centre for Antibiotic Resistance Research at the University of Gothenburg, Gothenburg, Sweden
Danesh Moradigaravand
1Center for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
Leopold Parts
5Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, United Kingdom
6Department of Computer Science, University of Tartu, Tartu, Estonia
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Posted March 28, 2021.
Machine learning prediction of resistance to sub-inhibitory antimicrobial concentrations from Escherichia coli genomes
Sam Benkwitz-Bedford, Martin Palm, Talip Yasir Demirtas, Ville Mustonen, Anne Farewell, Jonas Warringer, Danesh Moradigaravand, Leopold Parts
bioRxiv 2021.03.26.437296; doi: https://doi.org/10.1101/2021.03.26.437296
Machine learning prediction of resistance to sub-inhibitory antimicrobial concentrations from Escherichia coli genomes
Sam Benkwitz-Bedford, Martin Palm, Talip Yasir Demirtas, Ville Mustonen, Anne Farewell, Jonas Warringer, Danesh Moradigaravand, Leopold Parts
bioRxiv 2021.03.26.437296; doi: https://doi.org/10.1101/2021.03.26.437296
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