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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...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| 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 |