Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints

Simmuteit S, Schleif F-M, Villmann T, Hammer B (2010)
Knowledge and Information Systems 25(2): 327-343.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Simmuteit, S.; Schleif, Frank-MichaelUniBi ; Villmann, T.; Hammer, BarbaraUniBi
Erscheinungsjahr
2010
Zeitschriftentitel
Knowledge and Information Systems
Band
25
Ausgabe
2
Seite(n)
327-343
ISSN
0219-1377
eISSN
0219-3116
Page URI
https://pub.uni-bielefeld.de/record/1994034

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Simmuteit S, Schleif F-M, Villmann T, Hammer B. Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowledge and Information Systems. 2010;25(2):327-343.
Simmuteit, S., Schleif, F. - M., Villmann, T., & Hammer, B. (2010). Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowledge and Information Systems, 25(2), 327-343. https://doi.org/10.1007/s10115-009-0249-4
Simmuteit, S., Schleif, Frank-Michael, Villmann, T., and Hammer, Barbara. 2010. “Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints”. Knowledge and Information Systems 25 (2): 327-343.
Simmuteit, S., Schleif, F. - M., Villmann, T., and Hammer, B. (2010). Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowledge and Information Systems 25, 327-343.
Simmuteit, S., et al., 2010. Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowledge and Information Systems, 25(2), p 327-343.
S. Simmuteit, et al., “Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints”, Knowledge and Information Systems, vol. 25, 2010, pp. 327-343.
Simmuteit, S., Schleif, F.-M., Villmann, T., Hammer, B.: Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowledge and Information Systems. 25, 327-343 (2010).
Simmuteit, S., Schleif, Frank-Michael, Villmann, T., and Hammer, Barbara. “Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints”. Knowledge and Information Systems 25.2 (2010): 327-343.
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