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