2008 21st IEEE International Symposium on Computer-Based Medical Systems
Analysis and Visualization of Spatial Proteomic Data for Tissue Characterization
June 17-June 19
ISBN: 978-0-7695-3165-6
Spatial proteomic profiling of tissue sections provides in situ molecular analysis of proteins and peptides. Analysis and visualization of these high-dimensional data cubes is challenging. We present a methodology for this task based on a novel developed algorithm for the feature identification and reduction step. To show the validity of our approach, we analyzed prostate cancer tissue sections with an adapted kernel-density based clustering algorithm.
Index Terms:
Proteomics, Maldi Imaging, Clustering, Prostate Cancer
Citation:
Christian Fuchsberger, Heidi H?, Georg Sch?fer, Alexandre Pelzer, Georg Bartsch, Helmut Klocker, Nicola Barbarini, Riccardo Bellazzi, Wolfgang Wieder, G?nther Bonn, "Analysis and Visualization of Spatial Proteomic Data for Tissue Characterization," cbms, pp.185-190, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008