The effect of perturbations in reconstructing network structure
نویسندگان
چکیده
A Bayesian network is a graph-based representation of a joint probability distribution that captures properties of conditional independence between variables. This representation consists of two components. The first component is a directed acyclic graph (DAG), where the nodes represent genes and arrows between nodes indicate that one gene directly regulates the expression of another gene. The second component describes a conditional distribution for each node given its parents in the graph.
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تاریخ انتشار 2003