Using machine learning to predict antimicrobial minimum inhibitory concentrations and associated genomic features for nontyphoidal Salmonella

Title
Using machine learning to predict antimicrobial minimum inhibitory concentrations and associated genomic features for nontyphoidal Salmonella
Authors
Keywords
-
Journal
JOURNAL OF CLINICAL MICROBIOLOGY
Volume -, Issue -, Pages -
Publisher
American Society for Microbiology
Online
2018-10-12
DOI
10.1128/jcm.01260-18

Ask authors/readers for more resources

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started