Causal inference and Bayesian network learning are essential areas of research that focus on understanding and modeling the relationships between variables in various fields, including medicine ...

This information indicates the dynamic capabilities of a network and thereby its potential function. Figure 1: Network topology: biochemical reaction scheme versus causal connectivity. In cells ...