A Markov-Blanket-Based Model for Gene Regulatory Network Inference

@article{Ram2011AMM,
  title={A Markov-Blanket-Based Model for Gene Regulatory Network Inference},
  author={Ramesh Ram and Madhu Chetty},
  journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics},
  year={2011},
  volume={8},
  pages={353-367}
}
An efficient two-step Markov blanket method for modeling and inferring complex regulatory networks from large-scale microarray data sets is presented. The inferred gene regulatory network (GRN) is based on the time series gene expression data capturing the underlying gene interactions. For constructing a highly accurate GRN, the proposed method performs: 1) discovery of a gene's Markov Blanket (MB), 2) formulation of a flexible measure to determine the network's quality, 3) efficient searching… CONTINUE READING
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