2 February 2011 Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jesse Paquette, 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); doi: 10.1117/12.890220; https://doi.org/10.1117/12.890220
PROCEEDINGS
18 PAGES


SHARE
Back to Top