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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Detaylı Bibliyografya
Asıl Yazarlar: Kim, Jongrae, Bates, Declan G, Postlethwaite, Ian, Heslop-Harrison, Pat, Cho, Kwang-Hyun
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2007
Konular:
Methodology Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC1793997/
https://ncbi.nlm.nih.gov/pubmed/17212835
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-8
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