Genotype Components as Predictors of Phenotype in Model Gene Regulatory Networks

摘要: Models of gene regulatory networks (GRN) have proven useful for understanding many aspects the highly complex behavior biological control networks. Randomly generated non-Boolean were used in experimental simulations to generate data on dynamic phenotypes as a function several genotypic parameters. We found that predictive relationships between some and quantitative parameters such number network genes, interaction density, initial condition could be derived depending strength topological (positional) genotype specific phenotypes. quantitated effect (TGE) multi-gene For with low influence genotype, empirical using accurate phenotypic outcomes. properties, including oscillation behaviors, largely dependent topology, which no general determinable. It remains determined if these results are applicable