A stochastic differential equation model for transcriptional regulatory networks

BACKGROUND: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data sets. The dynamics of the gene expression level are fitted via a stochastic differential equation model, yielding a set of...

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Detalles Bibliográficos
Autores principales: Climescu-Haulica, Adriana, Quirk, Michelle D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892092/
https://www.ncbi.nlm.nih.gov/pubmed/17570863
http://dx.doi.org/10.1186/1471-2105-8-S5-S4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892092/
https://www.ncbi.nlm.nih.gov/pubmed/17570863
http://dx.doi.org/10.1186/1471-2105-8-S5-S4

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