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Additional file 1 of The relationship between stochastic and deterministic quasi-steady state approximations

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posted on 23.11.2015 by Jae Kim, Krešimir Josić, Matthew Bennett
Figures S1–S6 and Table S1. Figure S1. Normalization of fast variables improves the numerical method testing the accuracy of the stochastic QSSA with Eq. 8. Figure S2. The distribution of R at steady state from the stochastic simulations of the full (Eqs. 1–3) and reduced model (Eq. 5) corresponding to Fig. 2 a–b. Figure S3. The distribution of S at steady state from the stochastic simulations of the full (Eq. 9) and reduced model (Eq. 10). Figure S4. The accuracy of deterministic QSSAs depends on the initial conditions. Figure S5. Fourier transforms of trajectories obtained from stochastic simulations. Figure S6. Different reductions of the negative feedback loop model with enzymatic degradation. Table S1. The propensity functions used for the stochastic simulations. (PDF 769 kb)

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