Table 2 Inference results for PCR based reporter assay simulated data
From: Bayesian inference of biochemical kinetic parameters using the linear noise approximation
Parameter | Prior | Value | Estimate 1 | Estimate 2 |
|---|---|---|---|---|
γ R | Exp(1) | 0.44 | 0.45 (0.35-0.60) | 0.46 (0.42-0.50) |
λ | Exp(100) | 1.00 | 1.07 (0.90-1.22) | 1.01 (0.95-1.05) |
b 0 | Exp(100) | 15.00 | 13.13 (10.20-15.87) | 14.91 (13.86-15.77) |
b 1 | Exp(1) | 0.40 | 0.29 (0.14-0.51) | 0.43 (0.32-0.54) |
b 2 | Exp(1) | 0.40 | 0.32 (0.12-0.93) | 0.32 (0.21-0.43) |
b 3 | Exp(10) | 7.00 | 7.05 (6.39-7.63) | 6.99 (6.76-7.15) |
b 4 | Exp(100) | 3.00 | 2.97 (2.00-4.18) | 3.10 (2.76-3.43) |
μ 0 | Exp(100) | 6.76 | 6.90 (5.79-7.69) | 6.55 (6.14-6.85) |
| Exp(100) | 6.76 | 3.52 (0.01-8.99) | 7.59 (5.44-9.49) |
- Parameter values used to generate data, prior distributions used for estimation, posterior median estimates together with 95% credibility intervals. Estimate 1, Estimate 2 columns relate to small (l = 5, n = 50) and large (l = 100, n = 50) sample sizes. Variance of the measurement was assumed to be known
= 4. Estimated rates are per hour.
= 4. Estimated rates are per hour.