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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Hlavní autoři: Kim, Jongrae, Bates, Declan G, Postlethwaite, Ian, Heslop-Harrison, Pat, Cho, Kwang-Hyun
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2007
Témata:
Methodology Article
On-line přístup: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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