Analysis and visualization of spatial proteomic data for tissue characterization

C. Fuchsberger, H. Hübl, G. Schäfer, A. Pelzer, G. Bartsch, H. Klocker, N. Barbarini, R. Bellazzi, W. Wieder, G. Bonn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computer-Based Medical Systems
Pages185-190
Number of pages6
DOIs
Publication statusPublished - 2008
Event21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 - Jyvaskyla, Finland
Duration: Jun 17 2008Jun 19 2008

Other

Other21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
CountryFinland
CityJyvaskyla
Period6/17/086/19/08

ASJC Scopus subject areas

  • Engineering(all)

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