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Quality Metrics and Reordering Strategies for Revealing Patterns in BioFabric Visualizations.

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    Edge ordering in BioFabric visualizations significantly impacts pattern visibility more than node layout. A barycentric node layout with edge ordering by node index and length best reveals staircase patterns.

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    Area of Science:

    • Information Visualization
    • Graph Theory
    • Bioinformatics

    Background:

    • Visualizing relational data is key for understanding complex networks.
    • Node-link diagrams and adjacency matrices are common but limited by pattern visibility.
    • BioFabric visualization merges node-link clarity with adjacency matrix organization.

    Purpose of the Study:

    • To investigate which layout algorithm combinations best reveal patterns in BioFabric visualizations.
    • To identify and define patterns and anti-patterns within BioFabric, like staircases.
    • To propose metrics for evaluating the quality of BioFabric patterns.

    Main Methods:

    • Developed quality metrics to evaluate patterns in BioFabric visualizations.
    • Compared combinations of reordering techniques (node and edge) using a benchmark dataset.
    • Analyzed the influence of node layout versus edge order on pattern visibility.

    Main Results:

    • Edge order demonstrated a stronger influence on pattern visibility than node layout.
    • A barycentric node layout combined with edge ordering by node index and length proved optimal for revealing staircase patterns.
    • Identified specific patterns and anti-patterns within BioFabric visualizations.

    Conclusions:

    • The separate reordering of nodes and edges in BioFabric offers unique visualization possibilities.
    • Edge ordering is critical for enhancing pattern detection in BioFabric.
    • This research provides foundational insights for future BioFabric visualization and analysis.