Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods
Fig 4
Lotka-Volterra: Posterior distributions of non-zero reactions using the proposed model.
As expected, uncertainty in the parameters decreases as the measurement frequency decreases, but all are concentrated in relatively the same area. Only a single network is consistently identified given this data, indicating that identifiabiltiy is not a problem for this system.
doi: https://doi.org/10.1371/journal.pcbi.1009830.g004