Analysis of proteomic spectral data by multi resolution analysis and self-organizing maps

被引：0
|
作者：
Schleif, Frank-Michael [1 ]
Villmann, Thomas [1 ,2 ]
Hammer, Barbara [2 ]
机构：
[1] Univ Leipzig, Dept Med, D-04107 Leipzig, Germany
[2] Tech Univ Clausthal, Dept Math & C S, D-38678 Clausthal Zellerfeld, Germany
来源：
APPLICATIONS OF FUZZY SETS THEORY | 2007年 / 4578卷
关键词：
fuzzy visualization; clinical proteomics; wavelet analysis; biomarker; spectra preprocessing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：563 / +
页数：3
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