Inferring gene regulatory networks from gene expression data by PC-algorithm based on conditional mutual information

@inproceedings{Zhang2011InferringGR,
  title={Inferring gene regulatory networks from gene expression data by PC-algorithm based on conditional mutual information},
  author={Xiu-jun Zhang and Xing-Ming Zhao and Kun He and Yongwei Cao and Jingdong Liu and Jin-Kao Hao and Zhi-Ping Liu and Luonan Chen},
  year={2011}
}
Motivation: Reconstruction of gene regulatory networks (GRNs), which explicitly represent the causality of developmental or regulatory process, is of utmost interest and has become a challenging computational problem for understanding the complex regulatory mechanisms in cellular systems. However, all existing methods of inferring GRNs from gene expression profiles have their strengths and weaknesses. In particular, many properties of GRNs, such as topology sparseness and nonlinear dependence… CONTINUE READING
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A procedure for identifying master regulators in conjunction with network screening and inference

  • S Saito
  • Proc. IEEE Int. Conf. Bioinf. Biomed.,
  • 2011

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