Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps

Authors:
Frank-Michael Schleif;Thomas Villmann;Barbara Hammer
Affiliations:
University Leipzig, Dept. of Medicine, 04107 Leipzig, Germany;University Leipzig, Dept. of Medicine, 04107 Leipzig, Germany;TU-Clausthal, Dept. of Math. & C.S., 38678 Clausthal-Zellerfeld, Germany
Venue:
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Year:
2007

Citing 3
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Abstract

Analysis and visualization of high-dimensional clinical proteomic spectra obtained from mass spectrometric measurements is a complicated issue. We present a wavelet based preprocessing combined with an unsupervised and supervised analysis by Self-Organizing Maps and a fuzzy variant thereof. This leads to an optimal encoding and a robust classifier incorporating the possibility of fuzzy labels.