Campus Units

Electrical and Computer Engineering, Genetics, Development and Cell Biology

Document Type

Conference Proceeding

Conference

6th International Symposium, ISVC 2010

Publication Version

Accepted Manuscript

Link to Published Version

http://dx.doi.org/10.1007/978-3-642-17289-2_34

Publication Date

2010

Journal or Book Title

Advances in Visual Computing

First Page

350

Last Page

360

DOI

10.1007/978-3-642-17289-2_34

Conference Title

6th International Symposium, ISVC 2010

Conference Date

November 29-December 1, 2010

City

Las Vegas, Nevada

Abstract

Currently, visualization tools for large ontologies (e.g., pathway and gene ontologies) result in a very flat wide tree that is difficult to fit on a single display. This paper develops the concept of using an enhanced radial space-filling (ERSF) layout to show biological ontologies efficiently. The ERSF technique represents ontology terms as circular regions in 3D. Orbital connections in a third dimension correspond to non-tree edges in the ontology that exist when an ontology term belongs to multiple categories. Biologists can use the ERSF layout to identify highly activated pathway or gene ontology categories by mapping experimental statistics such as coefficient of variation and overrepresentation values onto the visualization. This paper illustrates the use of the ERSF layout to explore pathway and gene ontologies using a gene expression dataset from E. coli.

Comments

This is a manuscript of a proceeding published as Jia M., Li L., Boggess E., Wurtele E.S., Dickerson J.A. (2010) Visualizing Multivariate Hierarchic Data Using Enhanced Radial Space-Filling Layout. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. doi: 10.1007/978-3-642-17289-2_34. Posted with permission.

Copyright Owner

Springer-Verlag Berlin Heidelberg

Language

en

File Format

application/pdf

Published Version

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