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Adaptively biased sequential importance sampling for rare events in reaction networks with comparison to exact solutions from finite buffer dCME method
Critical events that occur rarely in biological processes are of great importance, but are challenging to study using Monte Carlo simulation. By introducing biases to reaction selection and reaction rates, weighted stochastic simulation algorithms based on importance sampling allow rare events to be...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
AIP Publishing LLC
2013
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3724789/ https://ncbi.nlm.nih.gov/pubmed/23862966 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1063/1.4811286 |
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