Analysis of Identification Method for Bacterial Species and Antibiotic Resistance Genes Using Optical Data From DNA Oligomers

Analysis of Identification Method for Bacterial Species and Antibiotic Resistance Genes Using Optical Data From DNA Oligomers

Bacterial antibiotic resistance is becoming a significant health threat, and rapid identification of antibiotic-resistant bacteria is essential to save lives and reduce the spread of antibiotic resistance. This paper analyzes the ability of machine learning algorithms (MLAs) to process data from a n...

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Bibliographic Details
Main Authors: Ryan L. Wood, Tanner Jensen, Cindi Wadsworth, Mark Clement, Prashant Nagpal, William G. Pitt
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Microbiology
Subjects:
antibiotic resistance
machine learning
DNA sequencing
Raman spectroscopy
biomedical diagnostic
Online Access:https://www.frontiersin.org/article/10.3389/fmicb.2020.00257/full

Internet

https://www.frontiersin.org/article/10.3389/fmicb.2020.00257/full

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