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Table 3 Inferred Interaction Strength Parameters for Simulated Data for Dataset with 40 Time Points

From: Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling

To ↓/From → Gene 1 Gene 2 Gene 3 Gene 4 Gene 5
Gene 1 0.53 ± 0.72 -0.22 ± 0.41 -0.10 ± 0.43 1.37 ± 1.16 0.88 ± 0.74
Gene 2 1.54 ± 0.78 0.28 ± 0.42 0.49 ± 0.62 0.33 ± 0.55 0.28 ± 0.53
Gene 3 1.35 ± 0.80 0.34 ± 0.57 1.07 ± 1.59 0.55 ± 0.63 0.26 ± 0.46
Gene 4 0.23 ± 0.57 -0.35 ± 0.61 -0.51 ± 0.64 0.40 ± 0.69 0.84 ± 0.74
Gene 5 -0.01 ± 0.31 -0.62 ± 0.67 -0.91 ± 0.69 0.55 ± 0.81 0.65 ± 0.63
  1. Learned regulation strength parameters β for the simulated dataset with 40 time points. Given are mean and standard deviation of the sampled interaction parameters. True edges which are present in the reference network are indicated in bold.