Figure 9
Simulation of GRN model on SW network (N = 100, \(\langle k\rangle \) = 5, M = 400). (a) Reconstructed values of elements in different inferred matrixes with noise \({\mathscr{N}}{\mathrm{(0,0.1}}^{2})\). (b) Reconstructed values of elements in recovered matrixes by GLasso-NCGC with noise \({\mathscr{N}}{\mathrm{(0,0.3}}^{2})\) and \({\mathscr{N}}{\mathrm{(0,0.5}}^{2})\) respectively.
