Using machine learning to predict antimicrobial minimum inhibitory concentrations and associated genomic features for nontyphoidal Salmonella
Nontyphoidal Salmonella species are the leading bacterial cause of food-borne disease in
the United States. Whole genome sequences and paired antimicrobial susceptibility data …
the United States. Whole genome sequences and paired antimicrobial susceptibility data …
[PDF][PDF] Using machine learning to predict antimicrobial minimum inhibitory concentrations and 1 associated genomic features for nontyphoidal Salmonella 2
M Nguyen, SW Long, PF McDermott, RJ Olsen… - scholar.archive.org
KAN: kanamycin 48 ME: major error 49 MIC: minimum inhibitory concentration 50 NAL:
nalidixic acid 51 NARMS: National Antimicrobial Resistance Monitoring System 52 SNP …
nalidixic acid 51 NARMS: National Antimicrobial Resistance Monitoring System 52 SNP …
Using machine learning to predict antimicrobial minimum inhibitory concentrations and associated genomic features for nontyphoidalSalmonella
M Nguyen, SW Long, PF McDermott, RJ Olsen… - 2018 - europepmc.org
Nontyphoidal Salmonella species are the leading bacterial cause of food-borne disease in
the United States. Whole genome sequences and paired antimicrobial susceptibility data …
the United States. Whole genome sequences and paired antimicrobial susceptibility data …
[PDF][PDF] Using machine learning to predict antimicrobial minimum inhibitory concentrations and 1 associated genomic features for nontyphoidal Salmonella 2
M Nguyen, SW Long, PF McDermott, RJ Olsen… - 2018 - researchgate.net
KAN: kanamycin 48 ME: major error 49 MIC: minimum inhibitory concentration 50 NAL:
nalidixic acid 51 NARMS: National Antimicrobial Resistance Monitoring System 52 SNP …
nalidixic acid 51 NARMS: National Antimicrobial Resistance Monitoring System 52 SNP …