Fig. 4
From: Efficient design of synthetic gene circuits under cell-to-cell variability
Comparison of individual and population viable spaces. A Samples in all two-dimensional projections of the population parameter space obtained with the SLMCMC algorithm for a scalar covariance matrix (less than 1.4% of samples are not viable). CV is the common coefficient of variation for all cell-to-cell variable population parameters. Orange (red) dots: viable samples for the threshold on the individual cost \(\varepsilon = 6\,\textrm{nM}\) (\(\varepsilon = 3\,\textrm{nM}\)); black dots: populations with cost \(c(\gamma ) > 0.2\). All parameters are in \(\hbox {log}_{10}\)-scale. B WTC model with increased cooperativity of repression. Orange (blue) dots: Individual samples with cost above (below) \(\varepsilon = 3\,\textrm{nM}\), individual threshold \(\varepsilon = 6\,\textrm{nM}\). Red dots: Population samples with fixed \(CV = 7\%\), population threshold \(\delta = 0.2\)