Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation

BACKGROUND: Gene expression is known to be an intrinsically stochastic process which can involve single-digit numbers of mRNA molecules in a cell at any given time. The modelling of such processes calls for the use of exact stochastic simulation methods, most notably the Gillespie algorithm. However...

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Detalles Bibliográficos
Autores principales: Lenive, Oleg, W. Kirk, Paul D., H. Stumpf, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994381/
https://www.ncbi.nlm.nih.gov/pubmed/27549182
http://dx.doi.org/10.1186/s12918-016-0324-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994381/
https://www.ncbi.nlm.nih.gov/pubmed/27549182
http://dx.doi.org/10.1186/s12918-016-0324-x

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