Authors
Marc Streit
Michael Kalkusch
Dieter Schmalstieg
Abstract
This work enriches the visualization of complex graphs from the biomedical domain called metabolic pathways by means of interactive linked views in 2D and 3D. Due to the high degree of complexity of pathways biologists are restrained by currently available systems in the process of hypothesis generation and validation. We propose an interactive visual data mining process that is supported by the integration of methods as detail-ondemand, focus and context, and semantic zoom.
CR Categories and Subject Descriptors
I.3.6 [Computer Graphics]: Methodology and Techniques – Interaction Techniques.
Keywords:
complex graph,
hierarchical graph,
Metabolic pathways,
non-planar graph,
visualization