<p>Set covering machines and reference-free genome comparisons uncover predictive biomarkers of antibiotic resistance</p>

Alexandre Drouin; Sébastien Giguère; Maxime Déraspe; Mario Marchand; Jacques Corbeil; François Laviolette

doi:10.7490/f1000research.1112083.1

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Drouin A, Giguère S, Déraspe M et al. Set covering machines and reference-free genome comparisons uncover predictive biomarkers of antibiotic resistance [version 1; not peer reviewed]. F1000Research 2016, 5(ISCB Comm J):1124 (poster) (https://doi.org/10.7490/f1000research.1112083.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Set covering machines and reference-free genome comparisons uncover predictive biomarkers of antibiotic resistance

Alexandre Drouin¹, Sébastien Giguère, Maxime Déraspe, Mario Marchand, Jacques Corbeil, François Laviolette

Published 02 Jun 2016 (https://doi.org/10.7490/f1000research.1112083.1)

Author Affiliations

¹ Department of Computer Science and Software Engineering, Université Laval, Canada

Copyright © 2016 Drouin A et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 02 Jun 2016

Set covering machines and reference-free genome comparisons uncover predictive biomarkers of antibiotic resistance
[version 1; not peer reviewed]

Alexandre Drouin¹, Sébastien Giguère, Maxime Déraspe, Mario Marchand, Jacques Corbeil, François Laviolette

Author Affiliations

¹ Department of Computer Science and Software Engineering, Université Laval, Canada

Presented at

Great Lakes Bioinformatics (GLBIO) and Canadian Computational Biology Conference 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Machine learning, genomics, biomarker, k-mer, antibiotic resistance

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