Phenotype Accessibility and Noise in Random Threshold Gene Regulatory Networks
Fig 3
Noise can increase the number of phenotypes accessible by binary networks in high sampling regimes.
Number of unique phenotypes U accessed for different sampling sizes λ and varying degrees of noise σ, for (A) random networks and (B) networks pre-selected for stability. Networks are binary, Wb, network size N = 4, number of gene expression states k = 3, soff = 0, maximum of T = 100 iterations. Horizontal dashed lines represent the size of phenotype space, max = kN = 81. Vertical dashed lines represent the size of genotype space, 2N2 = 65536. Diagonal dashed lines represent discovery rate without redundancy and overlap, where every new sample yields a new phenotype, i. e.
= λ.