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 language | English |
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Title of host publication | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
Pages | 185-190 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2008 |
Event | 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 - Jyvaskyla, Finland Duration: Jun 17 2008 → Jun 19 2008 |
Other
Other | 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 |
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Country | Finland |
City | Jyvaskyla |
Period | 6/17/08 → 6/19/08 |
ASJC Scopus subject areas
- Engineering(all)