Research Article

Defining Biological Networks for Noise Buffering and Signaling Sensitivity Using Approximate Bayesian Computation

Figure 3

(a) Parameter posterior distribution for biological circuit 1. and are the normalized degradation time scales for components A and B, respectively. (b) Principal component analysis of the posterior distribution for model 1. PC1 is the first principal component (accounting for as much of the variability in the data as possible), while PC9 describes the direction of least variance and therefore the most sensitive parameters. , , and are the degradation constants for components A, B, and C, respectively. indicates the eigenvalue of variance covariance matrix.
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(a)
625754.fig.003b
(b)