The article focuses on the use of Bayesian networks for integrating biological data and for inferring cellular networks and pathways. Bayesian networks are suitable for learning from incomplete data sets, expressing causal relationships, and combining domain knowledge and data. Bayesian network uses probability theory, which prevents it from fitting a model to data.