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Figure 5 | BMC Systems Biology

Figure 5

From: Sensitivity analysis of biological Boolean networks using information fusion based on nonadditive set functions

Figure 5

Norm values and nonadditive set functions. Top: The x-axis represents a total of 91 combinations of attributes sorted according to their associated norm in [Eq. ( 7 )]. The far left value corresponds to the best combination of attributes: x 1 (in-degree), x 2 (out-degree), and x 6 (average sensitivity) for activating mutations, and x 2, x 3 (minimum path length), x 4 (average path length), and x 6 for inactivating mutations. The norms are generally lower for activating mutations. Bottom: The nonadditive set functions obtained for AHD and in/activating mutations. The x-labels indicate the combinations that yield each of the bars of the graphs; for example 246 means the combination of x 2,x 4,x 6. The largest μ value is given by x 2 (out-degree) and x 6 (average sensitivity).

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