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Automatic identification of novel bacteria using Raman spectroscopy and Gaussian processes.

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Title: Automatic identification of novel bacteria using Raman spectroscopy and Gaussian processes.
Authors: Kemmler M; Computer Vision Research Group, Department of Mathematics and Computer Science, Friedrich Schiller University of Jena, Germany. michael.Kemmler@uni-jena.de, Rodner E, Rösch P, Popp J, Denzler J
Source: Analytica chimica acta [Anal Chim Acta] 2013 Sep 10; Vol. 794, pp. 29-37. Date of Electronic Publication: 2013 Jul 31.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0370534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4324 (Electronic) Linking ISSN: 00032670 NLM ISO Abbreviation: Anal Chim Acta Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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        Value: 10.1016/j.aca.2013.07.051
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      – Code: eng
        Text: English
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        StartPage: 29
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      – TitleFull: Automatic identification of novel bacteria using Raman spectroscopy and Gaussian processes.
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            NameFull: Kemmler M
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              Text: 2013 Sep 10
              Type: published
              Y: 2013
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