Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) Statistical Classification and Visualization of MALDI-Imaging Data Maribor, Slovenia June 20-June 22 ISBN: 0-7695-2905-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.99
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||