Bibliographic Details
| 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 |
