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Accuracy of parameter estimation for auto-regulatory transcriptional feedback loops from noisy data

Bayesian and non-Bayesian moment-based inference methods are commonly used to estimate the parameters defining stochastic models of gene regulatory networks from noisy single cell or population snapshot data. However, a systematic investigation of the accuracy of the predictions of these methods rem...

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Detalles Bibliográficos
Autores principales: Cao, Zhixing, Grima, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505555/
https://www.ncbi.nlm.nih.gov/pubmed/30940028
http://dx.doi.org/10.1098/rsif.2018.0967