An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series

@article{Wang2009AnEK,
  title={An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series},
  author={Zidong Wang and Xiaohui Liu and Yurong Liu and Jinling Liang and Veronica Vinciotti},
  journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics},
  year={2009},
  volume={6},
  pages={410-419}
}
In this paper, the extended Kalman filter (EKF) algorithm is applied to model the gene regulatory network from gene time series data. The gene regulatory network is considered as a nonlinear dynamic stochastic model that consists of the gene measurement equation and the gene regulation equation. After specifying the model structure, we apply the EKF algorithm for identifying both the model parameters and the actual value of gene expression levels. It is shown that the EKF algorithm is an online… CONTINUE READING
Highly Cited
This paper has 139 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 57 extracted citations

Inferring Gene Regulatory Networks via Nonlinear State-Space Models and Exploiting Sparsity

IEEE/ACM Transactions on Computational Biology and Bioinformatics • 2012
View 9 Excerpts
Highly Influenced

Inferring gene regulatory networks with nonlinear models via exploiting sparsity

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2012
View 4 Excerpts
Highly Influenced

A particle-based approach for topology estimation of gene networks

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) • 2017
View 1 Excerpt

139 Citations

02040'11'13'15'17'19
Citations per Year
Semantic Scholar estimates that this publication has 139 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 46 references

Stochastic Dynamic Modeling of Short Gene Expression Time-Series Data

IEEE Transactions on NanoBioscience • 2008
View 1 Excerpt

Similar Papers

Loading similar papers…