Document Open Access Logo

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

Author Frank Michael Schleif



PDF
Thumbnail PDF

File

DagSemProc.07131.3.pdf
  • Filesize: 0.55 MB
  • 24 pages

Document Identifiers

Author Details

Frank Michael Schleif

Cite AsGet BibTex

Frank Michael Schleif. Advances in pre-processing and model generation for mass spectrometric data analysis. In Similarity-based Clustering and its Application to Medicine and Biology. Dagstuhl Seminar Proceedings, Volume 7131, pp. 1-24, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2007)
https://doi.org/10.4230/DagSemProc.07131.3

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.
Keywords
  • Similarity measures
  • functional data
  • proteomics
  • mass spectrometry
  • pre-processing,wavelet analysis
  • generalized peak list

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail