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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...
Guardado en:
| Publicado en: | J R Soc Interface |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
The Royal Society
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6505555/ https://ncbi.nlm.nih.gov/pubmed/30940028 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2018.0967 |
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