Regularized EM algorithm for sparse parameter estimation in nonlinear dynamic systems with application to gene regulatory network inference

Parameter estimation in dynamic systems finds applications in various disciplines, including system biology. The well-known expectation-maximization (EM) algorithm is a popular method and has been widely used to solve system identification and parameter estimation problems. However, the conventional...

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Detalles Bibliográficos
Autores principales: Jia, Bin, Wang, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998071/
https://www.ncbi.nlm.nih.gov/pubmed/24708632
http://dx.doi.org/10.1186/1687-4153-2014-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998071/
https://www.ncbi.nlm.nih.gov/pubmed/24708632
http://dx.doi.org/10.1186/1687-4153-2014-5

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