Share Email Print
cover

Proceedings Paper

Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data
Author(s): Jesse Paquette; Taku Tokuyasu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The EGAN software is a functional implementation of a simple yet powerful paradigm for exploration of large empirical data sets downstream from computational analysis. By focusing on systems-level analysis via enrichment statistics, EGAN enables a human domain expert to transform high-throughput analysis results into hypergraph visualizations: concept maps that leverage the expert's semantic understanding of metadata and relationships to produce insight.

Paper Details

Date Published: 2 February 2011
PDF: 18 pages
Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 78650E (2 February 2011); doi: 10.1117/12.890220
Show Author Affiliations
Jesse Paquette, Univ. of California, San Francisco (United States)
Taku Tokuyasu, Univ. of California, San Francisco (United States)


Published in SPIE Proceedings Vol. 7865:
Human Vision and Electronic Imaging XVI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

© SPIE. Terms of Use
Back to Top