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Statistical Classification and Visualization of MALDI-Imaging Data
Maribor, Slovenia June 20-June 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.99Twentieth IEEE International Symposiu ...
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Marc Gerhard, Bruker Daltonik GmbH, Germany
Soren-Oliver Deininger, Bruker Daltonik GmbH, Germany
Frank-Michael Schleif, University Leipzig, Germany
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.
Index Terms:
data analysis, maldi imaging, class imaging, clinical proteomics
Citation:
Marc Gerhard, Soren-Oliver Deininger, Frank-Michael Schleif, "Statistical Classification and Visualization of MALDI-Imaging Data," cbms, pp.403-405, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007
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