Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data
Jesse Paquette, Taku A. Tokuyasu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
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.