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URN: urn:nbn:de:0030-drops-11329
URL: http://drops.dagstuhl.de/opus/volltexte/2007/1132/

Schleif, Frank Michael

Advances in pre-processing and model generation for mass spectrometric data analysis

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Abstract

The analysis of complex signals as obtained by mass spectrometric measurements is complicated and needs an appropriate representation of the data. Thereby the kind of preprocessing, feature extraction as well as the used similarity measure are of particular importance. Focusing on biomarker analysis and taking the functional nature of the data into account this task is even more complicated. A new mass spectrometry tailored data preprocessing is shown, discussed and analyzed in a clinical proteom study compared to a standard setting.

BibTeX - Entry

@InProceedings{schleif:DSP:2007:1132,
  author =	{Frank Michael Schleif},
  title =	{Advances in pre-processing and model generation for mass spectrometric data analysis},
  booktitle =	{Similarity-based Clustering and its Application to Medicine and Biology},
  year =	{2007},
  editor =	{Michael Biehl and Barbara Hammer and Michel Verleysen and Thomas Villmann },
  number =	{07131},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2007/1132},
  annote =	{Keywords: Similarity measures, functional data, proteomics, mass spectrometry, pre-processing,wavelet analysis, generalized peak list}
}

Keywords: Similarity measures, functional data, proteomics, mass spectrometry, pre-processing,wavelet analysis, generalized peak list
Seminar: 07131 - Similarity-based Clustering and its Application to Medicine and Biology
Issue date: 2007
Date of publication: 12.09.2007


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