Bayesian networks are increasingly important for integrating biological data and for inferring cellular networks and pathways. What are Bayesian networks and how are they used for inference?

Bayesian networks - a simple example Bayesian Networks can be described as directed acyclic graphs (DAGs). Think of a graph as a set of tinker toys. The connectors represent the nodes, and the sticks ...