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Project
Intelligent analysis and data-mining of mass spectrometry-based proteome data.
Mass spectrometry is a powerful analytical technique to elucidate the structure of molecules, like proteins. Until now a significant fraction of the data coming from MS analysis remains uninterpretable. This projects aims to apply state-of-the-art data mining techniques to a large set of mass spectra, aiming to find new relevant patterns that may point towards unknown structural modifications.
Date:1 Jul 2009 → 30 Jun 2013
Keywords:PROTEOMICS, MACHINE LEARNING, DATA MINING
Disciplines:Artificial intelligence, Scientific computing, Bioinformatics and computational biology, Public health care, Public health services, Cognitive science and intelligent systems