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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Detalles Bibliográficos
Autores principales: Wood, Ryan L., Jensen, Tanner, Wadsworth, Cindi, Clement, Mark, Nagpal, Prashant, Pitt, William G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044133/
https://www.ncbi.nlm.nih.gov/pubmed/32153541
http://dx.doi.org/10.3389/fmicb.2020.00257

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044133/
https://www.ncbi.nlm.nih.gov/pubmed/32153541
http://dx.doi.org/10.3389/fmicb.2020.00257

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