Intro to Computational Biology
Bayesian networks are probabilistic graphical models that represent a set of variables and their conditional dependencies using directed acyclic graphs. They provide a framework for reasoning under uncertainty, allowing for the integration of prior knowledge with observed data to make predictions or infer hidden states. In the context of gene regulatory networks, Bayesian networks are particularly useful for modeling the complex interactions between genes, helping to uncover the relationships and regulatory mechanisms that govern gene expression.
congrats on reading the definition of Bayesian networks. now let's actually learn it.