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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| 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 |