Gene regulatory network inference by point-based Gaussian approximation filters incorporating the prior information
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology
Link
http://link.springer.com/article/10.1186/1687-4153-2013-16/fulltext.html
Reference35 articles.
1. Zou M, Conzen SD: A new dynamic Bayesian network (dbn) approach for identifying gene regulatory networks from time course microarray data. Bioinformatics. 2005, 21 (1): 71-79.
2. Zhou X, Wang X, Pal R, Ivanov I, Bittner M, Dougherty ER: A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks. Bioinformatics. 2004, 20 (17): 2918-2927.
3. Quach M, Brunel N, d’Alché Buc F: Estimating parameters and hidden variables in non-linear state-space models based on odes for biological networks inference. Bioinformatics. 2007, 23 (23): 3209-3216.
4. Wang Z, Liu X, Liu Y, Liang J, Vinciotti V: An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series. Comput. Biol. Bioinformatics, IEEE/ACM Trans. 2009, 6 (3): 410-419.
5. Wu X, Li P, Wang N, Gong P, Perkins EJ, Deng Y, Zhang C: State space model with hidden variables for reconstruction of gene regulatory networks. BMC Syst Biol. 2011, 5 (Suppl 3): S3-10.1186/1752-0509-5-S3-S3.
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