Dynamics of miRNA driven feed-forward loop depends upon miRNA action mechanisms

BMC Genomics

Table 3 The ability of 1C loop to buffer TF noise under of parameters in all three models.

Parameter values	Stop Model		Degr. Model		Dual Degr. Model
	$ε ̄$	n	$ε ̄$	n	$ε ̄$	n
$h s = 1 h s = 100 h s = 200 h s = 400$	$- 0.62 - 0.47 - 0.27 - 0.21$	$052320$	$- 0.47 - 0.47 - 0.45 - 0.40$	$0007$	$- 0.49 - 0.46 - 0.42 - 0.42$	$0001$
$k q = 0.02 k q = 0.04 k q = 0.08 k q = 0.16$	$- 0.37 - 0.24 - 0.35 - 0.33$	$5241417$	$- 0.60 - 0.45 - 0.33 - 0.29$	$001012$	$- 0.63 - 0.44 - 0.34 - 0.25$	$001323$
$k s = 0.01 k s = 0.25 k s = 0.50 k s = 0.75$	$- 0.48 - 0.37 - 0.27 - 0.24$	$0122322$	$- 0.50 - 0.45 - 0.45 - 0.45$	$0200$	$- 0.48 - 0.44 - 0.42 - 0.43$	$0001$
$h p (h g) = 30; k r s = 1 ⋅ 1 0 - 5 h p (h g) = 60; k r s = 2 ⋅ 1 0 - 5 h p (h g) = 120; k r s = 4 ⋅ 1 0 - 5 h p (h g) = 240; k r s = 8 ⋅ 1 0 - 5$	$- 0.28 - 0.29 - 0.35 - 0.41$	$2220132$	$- 0.46 - 0.46 - 0.44 - 0.44$	$0010$	$- 0.45 - 0.42 - 0.39 - 0.40$	$0025$

For each model and for each parameter value we present the average ε value (left column) and the number n of experiments with positive value of this coefficient (right column). The method for calculation of ε is described in section. Negative ε mean that TF noise is dampen in a loop. The extremal ε values achieved at intermediate parameter values are shown in bold. The Wilcoxon Rank-Sum Test was used to test for significance of difference between the ε values for adjacent parameter values. The differences which are statistically insignificant at the $α = 0.05$ level are placed in parentheses.

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