From: Least-squares methods for identifying biochemical regulatory networks from noisy measurements
Strength of drift noise (γ) | Algorithms | ε M | ε S | ε F | |||
---|---|---|---|---|---|---|---|
Mean | STD | Mean | STD | Mean | STD | ||
2.0 | LS | 6.32 | 2.59 | 0.43 | 0.08 | 28.32 | 10.61 |
TLS | 19.57 | 179.54 | 0.50 | 0.12 | 111.66 | 949.78 | |
CTLS | 5.81 | 3.10 | 0.47 | 0.10 | 28.62 | 17.56 | |
1.0 | LS | 4.46 | 1.51 | 0.39 | 0.05 | 21.21 | 6.61 |
TLS | 4.83 | 2.15 | 0.43 | 0.08 | 26.42 | 14.98 | |
CTLS | 3.17 | 1.24 | 0.41 | 0.06 | 16.08 | 7.20 | |
0.1 | LS | 3.68 | 1.05 | 0.38 | 0.02 | 17.93 | 4.34 |
TLS | 3.58 | 1.27 | 0.40 | 0.05 | 19.90 | 8.33 | |
CTLS | 2.18 | 0.68 | 0.38 | 0.02 | 11.16 | 2.91 | |
0.05 | LS | 3.68 | 1.04 | 0.38 | 0.02 | 17.92 | 4.10 |
TLS | 3.63 | 1.35 | 0.40 | 0.06 | 19.88 | 8.16 | |
CTLS | 2.18 | 0.69 | 0.38 | 0.02 | 11.14 | 2.93 |