Visualization of depending patterns in metabonomics

Authors:
Stefan Roeder;Ulrike Rolle-Kampczyk;Olf Herbarth
Affiliations:
UFZ - Centre for Environmental Research Leipzig-Halle Ltd., Department Human Exposure Research/Epidemiology, Leipzig, Germany;UFZ - Centre for Environmental Research Leipzig-Halle Ltd., Department Human Exposure Research/Epidemiology, Leipzig, Germany;UFZ - Centre for Environmental Research Leipzig-Halle Ltd., Department Human Exposure Research/Epidemiology, Leipzig, Germany and University of Leipzig, Faculty of Medicine, Leipzig, Germany
Venue:
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Year:
2006

Citing 2
Cited 0

Self-organizing maps

Self-organizing maps
Self organization of a massive document collection

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes an approach for visualization of patterns in large data sets. The data sets are combined from external exposure and internal stress factors on human health. For deduction of modes of action on human health, external and internal stress factors have to be combined and classified. The approach shown in this paper is based upon clustering algorithms. Relationships between cases ban be obtained by visual inspection of clustering results.