Shape-Invariant Fuzzy Clustering of Proteomics Data

Berthold, Michael R.; Patterson, David E.; Ortolani, Marco; Hofer, Heiko; Höppner, Frank; Callan, Ondine

Shape-Invariant Fuzzy Clustering of Proteomics Data

Dateien

BPOHp02_FuzzyProteomics_nafips.pdfGröße: 653.12 KBDownloads: 341

Datum

2002

URI (zitierfähiger Link)

http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-70536

DOI (zitierfähiger Link)

https://doi.org/10.1109/NAFIPS.2002.1018029

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

NAFIPS, pp. 52-56. Available under: doi: 10.1109/NAFIPS.2002.1018029

Zusammenfassung

In this paper we present a variant of fuzzy c-means that allows to find similar shapes in time series data in a scale-invariant fashion. We use data from protein mass spectrography to show how this approach finds areas of interest without a need for ad-hoc normalizations.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

BERTHOLD, Michael R., David E. PATTERSON, Marco ORTOLANI, Heiko HOFER, Frank HÖPPNER, Ondine CALLAN, 2002. Shape-Invariant Fuzzy Clustering of Proteomics Data. In: NAFIPS, pp. 52-56. Available under: doi: 10.1109/NAFIPS.2002.1018029

BibTex

@article{Berthold2002Shape-5895,
  year={2002},
  doi={10.1109/NAFIPS.2002.1018029},
  title={Shape-Invariant Fuzzy Clustering of Proteomics Data},
  journal={NAFIPS},
  pages={52--56},
  author={Berthold, Michael R. and Patterson, David E. and Ortolani, Marco and Hofer, Heiko and Höppner, Frank and Callan, Ondine}
}

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Universitätsbibliographie

Nein