Estimating optimal sparseness of developmental gene networks using a semi-quantitative model
Fig 8
Robustness of perturbed networks as a function of sparseness parameter α at various noise intensities (A) λ = 10, (B) λ = 20, and (C) λ = 30.
Both connection-removal and misexpression perturbations are applied to the estimated networks. As the robustness, we show the average F-measure for each number of connection removals nc in 1,000 optimal solutions. The filled mark indicates the maximum value in each profile. The other parameters are fixed at μ = 0.01, C = 0.1, d = 2 [h], dmin = 0 [h], dmax = 2 [h], ϵ = 0.5, and θ = 1.