Prototype based fuzzy classification in clinical proteomics

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Prototype based fuzzy classification in clinical proteomics

Proteomic profiling based on mass spectrometry is an important tool for studies at the protein and peptide level in medicine and health care. Thereby, the identification of relevant masses, which are characteristic for specific sample states e.g. a disease state is complicated. Further, the classification accuracy and safety is especially important in medicine. The determination of classificati...

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Adaptive prototype-based fuzzy classification

Classifying large datasets without any a priori information poses a problem especially in the field of bioinformatics. In this work, we explore the problem of classifying hundreds of thousands of cell assay images obtained by a high-throughput screening camera. The goal is to label a few selected examples by hand and to automatically label the rest of the images afterwards. Up to now, such imag...

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Prototype based Machine Learning for Clinical Proteomics

Clinical proteomics opens the way towards new insights into many diseases on a level of detail not available before. One of the most promising measurement techniques supporting this approach is mass spectrometry based clinical proteomics. The analysis of the high dimensional data obtained from mass spectrometry asks for sophisticated, problem adequate preprocessing and data analysis approaches....

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Prototype based machine learning for clinical proteomics

Clinical proteomics opens the way towards new insights into many diseases on a level of detail not available before. One of the most promising measurement techniques supporting this approach is mass spectrometry based clinical proteomics. The analysis of the high dimensional data obtained from mass spectrometry asks for sophisticated, problem adequate preprocessing and data analysis approaches....

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Prototype Based Classification in Bioinformatics

INTRODUCTION Bioinformatics has become an important tool to support clinical and biological research and the analysis of functional data, is a common task in bioinformatics (Schleif, 2006). Gene analysis in form of micro array analysis (Schena, 1995) and protein analysis (Twyman, 2004) are the most important fields leading to multiple sub omics-disciplines like pharmacogenomics, glycoproteomics...

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ژورنال

عنوان ژورنال: International Journal of Approximate Reasoning

سال: 2008

ISSN: 0888-613X

DOI: 10.1016/j.ijar.2007.03.005