Original paper

A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains

Volume: 34, Issue: 13, Pages: i89 - i95
Published: Jun 27, 2018
Abstract
Motivation Antimicrobial resistance (AMR) is becoming a huge problem in both developed and developing countries, and identifying strains resistant or susceptible to certain antibiotics is essential in fighting against antibiotic-resistant pathogens. Whole-genome sequences have been collected for different microbial strains in order to identify crucial characteristics that allow certain strains to become resistant to antibiotics; however, a...
Paper Details
Title
A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains
Published Date
Jun 27, 2018
Volume
34
Issue
13
Pages
i89 - i95
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