Projects per year
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.
Original language | English |
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Article number | fnx018 |
Pages (from-to) | 1-4 |
Number of pages | 4 |
Journal | FEMS microbiology letters |
Volume | 364 |
Issue number | 10 |
DOIs | |
Publication status | Published - 1 May 2017 |
Keywords
- Chemometrics
- FT-IR spectroscopy
- Machine learning
- Neural networks
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Dive into the research topics of 'Commentary on "rapid identification of streptococcus and enterococcus species using diffuse reflectance-absorbance fourier transform infrared spectroscopy and artificial neural networks"'. Together they form a unique fingerprint.Projects
- 1 Finished
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Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals
Scrutton, N. (PI), Azapagic, A. (CoI), Balmer, A. (CoI), Barran, P. (CoI), Breitling, R. (CoI), Delneri, D. (CoI), Dixon, N. (CoI), Faulon, J.-L. (CoI), Flitsch, S. (CoI), Goble, C. (CoI), Goodacre, R. (CoI), Hay, S. (CoI), Kell, D. (CoI), Leys, D. (CoI), Lloyd, J. (CoI), Lockyer, N. (CoI), Martin, P. (CoI), Micklefield, J. (CoI), Munro, A. (CoI), Pedrosa Mendes, P. (CoI), Randles, S. (CoI), Salehi Yazdi, F. (CoI), Shapira, P. (CoI), Takano, E. (CoI), Turner, N. (CoI) & Winterburn, J. (CoI)
14/11/14 → 13/05/20
Project: Research