Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data

Jesse Paquette; Taku Tokuyasu

doi:10.1117/12.890220

2 February 2011 Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data

Jesse Paquette, Taku Tokuyasu

Author Affiliations +

Proceedings Volume 7865, Human Vision and Electronic Imaging XVI; 78650E (2011) https://doi.org/10.1117/12.890220
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

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Jesse Paquette and Taku Tokuyasu "Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data", Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 78650E (2 February 2011); https://doi.org/10.1117/12.890220

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