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...
Main Authors: | Ryan L. Wood, Tanner Jensen, Cindi Wadsworth, Mark Clement, Prashant Nagpal, William G. Pitt |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-02-01
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Series: | Frontiers in Microbiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fmicb.2020.00257/full |
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