Table 1 Employed settings for different network inference approaches
From: Parametric and non-parametric gradient matching for network inference: a comparison
Parameter | Settings |
|---|---|
Inference method | Gaussian Process only |
| Â | (non-parametric), |
| Â | ODE with prior, |
| Â | ODE without prior |
Input data | Non-oscillatory data (deterministic, |
| Â | 5 genes, 8 interactions), |
| Â | Oscillatory data (deterministic, |
| Â | 5 genes, 7 interactions), |
| Â | Realistic simulated data (stochastic, |
| Â | 10 genes, 10 interaction) |
Data interpolation | Independent single-output GPs, |
| Â | Multiple-output GP |
Number of datapoints | 21, 41 |
Max. num. of parents | 2, 3 |
Fixed GP length-scale | 50, 100, 150, 200 |
(realistic data only) | Â |