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Figure 3 | BMC Bioinformatics

Figure 3

From: NetMets: software for quantifying and visualizing errors in biological network segmentation

Figure 3

Regular and Grid-based sampling methods where d is the actual distance and m is the measured distance. (left) For regular subdivision, the worst-case error in the distance estimate E ε σ 2 as d → 0. (right) Grid-based subdivision improves the worst case error while forcing E → 0 as d → 0. The difference in error becomes even more significant when scaled by the nonlinear metric function (Equation 3).

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