Inferring gene regulatory networks from perturbed gene expression data using a dynamic Bayesian network with a Markov Chain Monte Carlo algorithm

Swee Thing Low, Mohd Saberi Mohamad, Sigeru Omatu, Lian En Chai, Safaai Deris, Michifumi Yoshioka. Inferring gene regulatory networks from perturbed gene expression data using a dynamic Bayesian network with a Markov Chain Monte Carlo algorithm. In 2014 IEEE International Conference on Granular Computing, GrC 2014, Noboribetsu, Japan, October 22-24, 2014. pages 179-184, IEEE, 2014. [doi]

@inproceedings{LowMOCDY14,
  title = {Inferring gene regulatory networks from perturbed gene expression data using a dynamic Bayesian network with a Markov Chain Monte Carlo algorithm},
  author = {Swee Thing Low and Mohd Saberi Mohamad and Sigeru Omatu and Lian En Chai and Safaai Deris and Michifumi Yoshioka},
  year = {2014},
  doi = {10.1109/GRC.2014.6982831},
  url = {http://dx.doi.org/10.1109/GRC.2014.6982831},
  researchr = {https://researchr.org/publication/LowMOCDY14},
  cites = {0},
  citedby = {0},
  pages = {179-184},
  booktitle = {2014 IEEE International Conference on Granular Computing, GrC 2014, Noboribetsu, Japan, October 22-24, 2014},
  publisher = {IEEE},
  isbn = {978-1-4799-5464-3},
}