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WILF
2007
Springer

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

9 years 6 months ago
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps
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. Key words: fuzzy visualization, clinical proteomics, wavelet analysis, biomarker, spectra preprocessing
Frank-Michael Schleif, Thomas Villmann, Barbara Ha
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where WILF
Authors Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
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