BG-RESEARCH

International Publication Award Recipients

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Biological machine learning combined with Campylobacter population genomics reveals virulence gene allelic variants cause disease
The study validated a novel framework to define infection mechanism using the combination of GWAS, machine learning, and bacterial population genomics that ranked allelic variants that accurately identified disease. The study defined the capability of machine learning coupled with GWAS and population genomics to simultaneously identify and rank alleles to define their role in infectious disease mechanisms.
Authors:
DJ Darwin R. Bandoy and Bart C. Weimer
Published in:
Microorganisms, 2020, Volume 8, Issue No. 4
doi:
10.3390/microorganisms8040549
Date awarded:
January 2021

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