Simulating molecular regulatory networks using qpgraph

The theoretical substrate used by qpgraph to estimate network models of molecular regulatory interactions is that of graphical Markov models (GMMs). A useful way to understand the underpinnings of these models is to simulate them and simulate data from them. More importantly, these simulated data may serve the purpose of verifying properties of GMM estimation procedures, such as correctness or asymptotic behavior. Here we illustrate the functionalities of qpgraph to perform these simulations. If you use them in your own research, please cite the following article: