A Simplified Multivariate Markov Chain Model for the Construction and Control of Genetic Regulatory Networks

@article{Zhang2008ASM,
  title={A Simplified Multivariate Markov Chain Model for the Construction and Control of Genetic Regulatory Networks},
  author={Shu-qin Zhang and Wai-Ki Ching and Yue Jiao and Ling-Yun Wu and R. H. Chan},
  journal={2008 2nd International Conference on Bioinformatics and Biomedical Engineering},
  year={2008},
  pages={569-572}
}
The construction and control of genetic regulatory networks using gene expression data is an important research topic in bioinformatics. Probabilistic Boolean Networks (PBNs) have been served as an effective tool for this purpose. However, PBNs are difficult to be used in practice when the number of genes is large because of the huge computational cost. In this paper, we propose a simplified multivariate Markov model for approximating a PBN. The new model can preserve the strength of PBNs and… CONTINUE READING

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