Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods
Fig 6
Identified trajectories and posterior from additive.
Similar to the case of observing only one Y, the true network can still be recovered in this example however credible intervals are significantly larger.
doi: https://doi.org/10.1371/journal.pcbi.1009830.g006