Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers

Schleif F-M, Hammer B, Villmann T (2008)
In: Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Van de Werff M, Delder A, Tollenaar R (Eds); Berlin: Springer: 141-167.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Herausgeber*in
Van de Werff, M.; Delder, A.; Tollenaar, R.
Erscheinungsjahr
2008
Buchtitel
Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications
Seite(n)
141-167
Page URI
https://pub.uni-bielefeld.de/record/1993900

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Schleif F-M, Hammer B, Villmann T. Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers. In: Van de Werff M, Delder A, Tollenaar R, eds. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Berlin: Springer; 2008: 141-167.
Schleif, F. - M., Hammer, B., & Villmann, T. (2008). Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers. In M. Van de Werff, A. Delder, & R. Tollenaar (Eds.), Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications (pp. 141-167). Berlin: Springer. https://doi.org/10.1007/978-3-540-70778-3_6
Schleif, Frank-Michael, Hammer, Barbara, and Villmann, T. 2008. “Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers”. In Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications, ed. M. Van de Werff, A. Delder, and R. Tollenaar, 141-167. Berlin: Springer.
Schleif, F. - M., Hammer, B., and Villmann, T. (2008). “Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers” in Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications, Van de Werff, M., Delder, A., and Tollenaar, R. eds. (Berlin: Springer), 141-167.
Schleif, F.-M., Hammer, B., & Villmann, T., 2008. Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers. In M. Van de Werff, A. Delder, & R. Tollenaar, eds. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Berlin: Springer, pp. 141-167.
F.-M. Schleif, B. Hammer, and T. Villmann, “Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers”, Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications, M. Van de Werff, A. Delder, and R. Tollenaar, eds., Berlin: Springer, 2008, pp.141-167.
Schleif, F.-M., Hammer, B., Villmann, T.: Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers. In: Van de Werff, M., Delder, A., and Tollenaar, R. (eds.) Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. p. 141-167. Springer, Berlin (2008).
Schleif, Frank-Michael, Hammer, Barbara, and Villmann, T. “Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers”. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Ed. M. Van de Werff, A. Delder, and R. Tollenaar. Berlin: Springer, 2008. 141-167.
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