Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks

@inproceedings{Koh2009UsingAS,
  title={Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks},
  author={Chushin Koh and Fang-Xiang Wu and Gopalan Selvaraj and Anthony J. Kusalik},
  booktitle={EURASIP J. Bioinformatics and Systems Biology},
  year={2009}
}
Computational gene regulation models provide a means for scientists to draw biological inferences from time-course gene expression data. Based on the state-space approach, we developed a new modeling tool for inferring gene regulatory networks, called time-delayed Gene Regulatory Networks (tdGRNs). tdGRN takes time-delayed regulatory relationships into consideration when developing the model. In addition, a priori biological knowledge from genome-wide location analysis is incorporated into the… CONTINUE READING

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A new look at the statistical model identification

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