Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data
نویسندگان
چکیده
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. visualization, enrichment, metadata, big data, organic intelligence, data integration, multivariate statistics, cloud computing
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