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Frontiers in Microbiology
(Jun 2020)
Corrigendum: Shared Multidrug Resistance Patterns in Chicken-Associated Escherichia coli Identified by Association Rule Mining
Casey L. Cazer,
Mohammad A. Al-Mamun,
Karun Kaniyamattam,
William J. Love,
James G. Booth,
Cristina Lanzas,
Yrjö T. Gröhn
Affiliations
Casey L. Cazer
Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States
Mohammad A. Al-Mamun
Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT, United States
Karun Kaniyamattam
Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States
William J. Love
Department of Population Health and Pathobiology, North Carolina State University College of Veterinary Medicine, Raleigh, NC, United States
James G. Booth
Department of Biological Statistics and Computational Biology, Cornell University College of Agriculture and Life Sciences, Ithaca, NY, United States
Cristina Lanzas
Department of Population Health and Pathobiology, North Carolina State University College of Veterinary Medicine, Raleigh, NC, United States
Yrjö T. Gröhn
Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States
DOI
https://doi.org/10.3389/fmicb.2020.01359
Journal volume & issue
Vol. 11
Abstract
Read online
No abstracts available.
Keywords
association rule mining
antimicrobial resistance
Escherichia coli
machine learning
multidrug resistance
foodborne bacteria
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