Statistical Classification and Visualization of MALDI-Imaging Data

Authors:
Marc Gerhard;Soren-Oliver Deininger;Frank-Michael Schleif
Affiliations:
Bruker Daltonik GmbH, Germany;Bruker Daltonik GmbH, Germany;University Leipzig, Germany
Venue:
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Year:
2007

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Supervised data analysis and reliability estimation with exemplary application for spectral data

Neurocomputing

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Abstract

Proteomic profiling based on mass spectrometry (ms) is an important tool for studies at the protein and peptide level. Thereby, the identification of relevant masses for a specific kind of disease, discriminating classification models as well as a reliable visualization is complicated. For the analysis of tissue sections the new technique of MALDI-Imaging has been introduced, which results in new data analysis challenges. Here we present a method for the analysis and visualization of MALDI Imaging spectra applied on a clinical cancer data set.