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Analysis and Visualization of Spatial Proteomic Data for Tissue Characterization

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10 Author(s)
Christian Fuchsberger ; Dept. of Urology, Med. Univ. of Innsbruck, Innsbruck ; Heidi Hübl ; Georg Schäfer ; Alexandre Pelzer
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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.

Published in:

Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on

Date of Conference:

17-19 June 2008