Commentary on "Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks"

Goodacre, Royston ORCID: 0000-0003-2230-645X and Kell, Douglas B ORCID: 0000-0001-5838-7963 (2017) Commentary on "Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks". FEMS MICROBIOLOGY LETTERS, 364 (10). fnx018-fnx018.

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Official URL: http://dx.doi.org/10.1093/femsle/fnx018

Abstract

This is an invited review/commentary by the first and last authors of a paper that was the most cited in FEMS Microbiology Letters for 1996, presently showing in excess of 150 citations at Web of Science, and over 200 at Google Scholar. It was the first paper in which diffuse reflectance absorbance FT-IR spectroscopy was used with a supervised learning method in the form of artificial neural networks, and showed that this combination could succeed in discriminating a series of closely related, clinically relevant, Gram-positive bacterial strains.

Item Type:	Article
Uncontrolled Keywords:	FT-IR spectroscopy, chemometrics, neural networks, machine learning
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User:	Symplectic Admin
Date Deposited:	03 May 2024 09:30
Last Modified:	03 May 2024 09:43
DOI:	10.1093/femsle/fnx018
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3180769