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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
ASCII Text
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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," Computer-Based Medical Systems, IEEE Symposium on, pp. 185-190, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008.
 
 
BibTex
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@article{ 10.1109/CBMS.2008.119,
author = {Christian Fuchsberger and Heidi H? and Georg Sch?fer and Alexandre Pelzer and Georg Bartsch and Helmut Klocker and Nicola Barbarini and Riccardo Bellazzi and Wolfgang Wieder and G?nther Bonn},
title = {Analysis and Visualization of Spatial Proteomic Data for Tissue Characterization},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2008},
issn = {1063-7125},
pages = {185-190},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.119},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Analysis and Visualization of Spatial Proteomic Data for Tissue Characterization
SN - 1063-7125
SP185
EP190
A1 - Christian Fuchsberger,
A1 - Heidi H?,
A1 - Georg Sch?fer,
A1 - Alexandre Pelzer,
A1 - Georg Bartsch,
A1 - Helmut Klocker,
A1 - Nicola Barbarini,
A1 - Riccardo Bellazzi,
A1 - Wolfgang Wieder,
A1 - G?nther Bonn,
PY - 2008
KW - Proteomics
KW - Maldi Imaging
KW - Clustering
KW - Prostate Cancer
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
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
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