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Table 3 Estimated parameters for the three-module network considered as a black-box function, for different noise models and entities, when the function is predicted from individual transfer functions derived from central tendency measures

From: Modelling the effects of cell-to-cell variability on the output of interconnected gene networks in bacterial populations

Parameter: α O U T *
[RPU]
δ O U T *
[RPU]
k O U T *
[nM]
η O U T *
[-]
constant CV 0.22
0.20
0.19
0.22
0.20
0.19
0.22
0.20
0.19
(6.5%)
0.28
0.30
0.31
0.28
0.30
0.31
0.28
0.30
0.31
16.86
18.51
19.53
20.00
22.25
23.67
23.03
25.84
27.63
(16%)
1.75
1.69
1.65
1.53
1.48
1.45
1.42
1.37
1.34
(9.7%)
constant VAR 0.22
0.22
0.21
0.22
0.22
0.22
0.22
0.22
0.22
(0.8%)
0.28
0.28
0.28
0.28
0.28
0.28
0.28
0.28
0.28
23.98
23.96
23.97
27.73
27.70
27.72
31.22
31.19
31.21
(11.3%)
1.90
1.90
1.89
1.92
1.92
1.92
1.92
1.92
1.92
(0.7%)
  1. Parameters are obtained by fitting population-averaged values of OUTPUT2 as a function of OUTPUT1 for different noise models and entity, applied to OUTPUT1. The 9 values reported in each cell correspond to a noise entity (which affects OUTPUT1 in the identification step of the TetR/Ptet- and LacI/Plac-based NOT gate transfer function, respectively) of CV = 0.15-0.15, 0.15-0.55, 0.15-0.75, 0.55-0.15, 0.55-0.55, 0.55-0.75, 0.75-0.15, 0.75-0.55, 0.75-0.75 (for constant CV models) and to VAR = 0.05-0.05, 0.05-0.1, 0.05-0.15, 0.1-0.05, 0.1-0.1, 0.1-0.15, 0.15-0.05, 0.15-0.1, 0.15-0.15 (for constant VAR models). The CV among the estimated parameters is reported in brackets.