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

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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]

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