Cost-based labeling of groups of mass spectra
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
On the preprocessing of mass spectrometry proteomics data
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
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Data produced by mass spectrometer (MS) have been using in proteomics experiments to identify proteins or patterns in clinical samples that may be responsible of human diseases. Nevertheless, MS data are affected by errors and different preprocessing techniques have to be applied to manipulate and gathering information from data. Moreover, MS samples contain a huge amount of data requiring an efficient organization both to reduce access time to data, and to allow efficient knowledge extraction. We present the design and the implementation of a database for managing MS data, integrated in a software system for the loading, preprocessing, storing and managing of mass spectra data.