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A Bayesian approach to estimating hidden variables as well as missing and wrong molecular interactions in ordinary differential equation-based mathematical models
Ordinary differential equations (ODEs) are a popular approach to quantitatively model molecular networks based on biological knowledge. However, such knowledge is typically restricted. Wrongly modelled biological mechanisms as well as relevant external influence factors that are not included into th...
Autores principales: | Engelhardt, Benjamin, Kschischo, Maik, Fröhlich, Holger |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493809/ https://www.ncbi.nlm.nih.gov/pubmed/28615495 http://dx.doi.org/10.1098/rsif.2017.0332 |
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