Visualizing set concordance with permutation matrices and fan diagrams
Interacting with Computers
Evaluating and generalizing constraint diagrams
Journal of Visual Languages and Computing
Diagrammatic Reasoning Systems
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
General Euler Diagram Generation
Diagrams '08 Proceedings of the 5th international conference on Diagrammatic Representation and Inference
Diagrams '08 Proceedings of the 5th international conference on Diagrammatic Representation and Inference
Journal of Visual Languages and Computing
Exploring Human Factors in Formal Diagram Usage
Engineering Interactive Systems
Detecting multiple facets of an event using graph-based unsupervised methods
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A graph theoretic approach to general Euler diagram drawing
Theoretical Computer Science
Efficient on-line algorithms for Euler diagram region computation
Computational Geometry: Theory and Applications
Coloured euler diagrams: a tool for visualizing dynamic systems and structured information
Diagrams'10 Proceedings of the 6th international conference on Diagrammatic representation and inference
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Motivation: Microarray experiments generate vast amounts of data. The unknown or only partially known functional context of differentially expressed genes may be assessed by querying the Gene Ontology database via GOMiner. Resulting tree representations are difficult to interpret and are not suited for visualization of this type of data. Methods are needed to effectively visualize these complex set relationships. Results: We present a visualization approach for set relationships based on Venn diagrams. The proposed extension enhances the usual notion of Venn diagrams by incorporating set size information. The cardinality of the sets and intersection sets is represented by their corresponding circle (polygon) sizes. To avoid local minima, solutions to this problem are sought by evolutionary optimization. This generalized Venn diagram approach has been implemented as an interactive Java application (VennMaster) specifically designed for use with GOMiner in the context of the Gene Ontology database. Availability: VennMaster is platform-independent (Java 1.4.2) and has been tested on Windows (XP, 2000), Mac OS X, and Linux. Supplementary information and the software (free for non-commercial use) are available at http://www.informatik.uni-ulm.de/ni/mitarbeiter/HKestler/vennm together with a user documentation. Contact: hans.kestler@medizin.uni-ulm.de