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Fig. 1 | BMC Systems Biology

Fig. 1

From: A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case study

Fig. 1

The deterministic precondition. Left side the deterministic dynamics of the system can be seen, here the observable variable evolves to a single stable steady state \(X_{1}^{*}(\theta)\). This steady state can be calculated by finding the point in the system where the net flux is equal to zero \(\dot {\mathbf {X}}(\theta) = 0\). At the right hand side of the plot, the PDF of the experimental data is shown. This PDF is rotated and the x-axis shows the count and the y-axis shows the bin values with units of Molecules/Cell. From both graphs it can be seen that the deterministic precondition is valid when \(X_{1}^{*}(\theta)\) is inside the range defined by \(\beta _{1}^{low} X_{1}^{*}(\theta)\) and \(\beta _{1}^{up} X_{1}^{*}(\theta)\)

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BMC Systems Biology

ISSN: 1752-0509

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