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Functional data analysis for identifying nonlinear models of gene regulatory networks
BACKGROUND: A key problem in systems biology is estimating dynamical models of gene regulatory networks. Traditionally, this has been done using regression or other ad-hoc methods when the model is linear. More detailed, realistic modeling studies usually employ nonlinear dynamical models, which lea...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3005930/ https://www.ncbi.nlm.nih.gov/pubmed/21143801 http://dx.doi.org/10.1186/1471-2164-11-S4-S18 |