Least-squares methods for identifying biochemical regulatory networks from noisy measurements

BACKGROUND: We consider the problem of identifying the dynamic interactions in biochemical networks from noisy experimental data. Typically, approaches for solving this problem make use of an estimation algorithm such as the well-known linear Least-Squares (LS) estimation technique. We demonstrate t...

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Detalles Bibliográficos
Autores principales: Kim, Jongrae, Bates, Declan G, Postlethwaite, Ian, Heslop-Harrison, Pat, Cho, Kwang-Hyun
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1793997/
https://www.ncbi.nlm.nih.gov/pubmed/17212835
http://dx.doi.org/10.1186/1471-2105-8-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1793997/
https://www.ncbi.nlm.nih.gov/pubmed/17212835
http://dx.doi.org/10.1186/1471-2105-8-8

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