Paper Info
Title
Analysis of biomedical data with multilevel glyphs.
Abstract
This paper presents multilevel data glyphs optimized for the interactive knowledge discovery and visualization of large biomedical data sets. Data glyphs are three- dimensional objects defined by multiple levels of geometric descriptions (levels of detail) combined with a mapping of data attributes to graphical elements and methods, which specify their spatial position.In the data mapping phase, which is done by a biomedical expert, meta information about the data attributes (scale, number of distinct values) are compared with the visual capabilities of the graphical elements in order to give a feedback to the user about the correctness of the variable mapping. The spatial arrangement of glyphs is done in a dimetric view, which leads to high data density, a simplified 3D navigation and avoids perspective distortion.We show the usage of data glyphs in the disease analyser a visual analytics application for personalized medicine and provide an outlook to a biomedical web visualization scenario.Data glyphs can be successfully applied in the disease analyser for the analysis of big medical data sets. Especially the automatic validation of the data mapping, selection of subgroups within histograms and the visual comparison of the value distributions were seen by experts as an important functionality.
Year
DOI
Venue
2014
10.1186/1471-2105-15-S6-S5
BMC Bioinformatics
Keywords
Field
DocType
Visualization, Interactive Knowledge Discovery, Glyphs, Semantic Zoom
Glyph,Data mining,Data set,Visualization,Computer science,Knowledge extraction,Bioinformatics,Health informatics,The Internet
Journal
Volume
Issue
ISSN
15 Suppl 6
S-6
1471-2105
Citations 
PageRank 
References 
9
0.55
24
Authors
4
Name
Order
Citations
PageRank
Heimo Müller135828.60
Robert Reihs2161.72
Kurt Zatloukal338229.67
Andreas Holzinger42886253.75