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Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods

Fig 1

Lotka-Volterra observation data.

Simulated data used for network identification. Log-Normal noise is added to the true trajectory, and measurement frequency is changed to show the uncertainty in posteriors.

Fig 1

doi: https://doi.org/10.1371/journal.pcbi.1009830.g001