Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods

Villmann T, Schleif F-M, Kostrzewa M, Walch A, Hammer B (2008)
Briefings in Bioinformatics 9(2): 129-143.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Villmann, Thomas; Schleif, Frank-MichaelUniBi ; Kostrzewa, Markus; Walch, Axel; Hammer, BarbaraUniBi
Einrichtung
Technische Fakultät > AG Machine Learning
Erscheinungsjahr
2008
Zeitschriftentitel
Briefings in Bioinformatics
Band
9
Ausgabe
2
Seite(n)
129-143
ISSN
1467-5463
eISSN
1477-4054
Page URI
https://pub.uni-bielefeld.de/record/1994253

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Villmann T, Schleif F-M, Kostrzewa M, Walch A, Hammer B. Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics. 2008;9(2):129-143.
Villmann, T., Schleif, F. - M., Kostrzewa, M., Walch, A., & Hammer, B. (2008). Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics, 9(2), 129-143. https://doi.org/10.1093/bib/bbn009
Villmann, Thomas, Schleif, Frank-Michael, Kostrzewa, Markus, Walch, Axel, and Hammer, Barbara. 2008. “Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods”. Briefings in Bioinformatics 9 (2): 129-143.
Villmann, T., Schleif, F. - M., Kostrzewa, M., Walch, A., and Hammer, B. (2008). Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics 9, 129-143.
Villmann, T., et al., 2008. Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics, 9(2), p 129-143.
T. Villmann, et al., “Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods”, Briefings in Bioinformatics, vol. 9, 2008, pp. 129-143.
Villmann, T., Schleif, F.-M., Kostrzewa, M., Walch, A., Hammer, B.: Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics. 9, 129-143 (2008).
Villmann, Thomas, Schleif, Frank-Michael, Kostrzewa, Markus, Walch, Axel, and Hammer, Barbara. “Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods”. Briefings in Bioinformatics 9.2 (2008): 129-143.

9 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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Mahé P, Arsac M, Chatellier S, Monnin V, Perrot N, Mailler S, Girard V, Ramjeet M, Surre J, Lacroix B, van Belkum A, Veyrieras JB., Bioinformatics 30(9), 2014
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Data processing pipelines for comprehensive profiling of proteomics samples by label-free LC-MS for biomarker discovery.
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Divergence-based vector quantization.
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Daten bereitgestellt von Europe PubMed Central.

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