Structure learning for biomolecular pathways containing cycles

@article{Itani2008StructureLF,
  title={Structure learning for biomolecular pathways containing cycles},
  author={Sleiman Itani and Karen Sachs and Garry P. Nolan and Munther A. Dahleh},
  journal={2008 8th IEEE International Conference on BioInformatics and BioEngineering},
  year={2008},
  pages={1-6}
}
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint, a problematic one in the cycle-containing biological domain. Here, we introduce a novel method for modeling cyclic pathways in biology, by employing our newly introduced Generalized Bayesian Networks (GBNs) and proposing a structure learning algorithm suitable for the biological domain. This algorithm relies on data… CONTINUE READING