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...

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Detalles Bibliográficos
Autores principales: Summer, Georg, Perkins, Theodore J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Proceedings
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

Internet

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

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