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• W2899834699 abstract "The finite state projection (FSP) approach to solving the chemical master equation has enabled successful inference of discrete stochastic models to predict single-cell gene regulation dynamics. Unfortunately, the FSP approach is highly computationally intensive for all but the simplest models, an issue that is highly problematic when parameter inference and uncertainty quantification takes enormous numbers of parameter evaluations. To address this issue, we propose two new computational methods for the Bayesian inference of stochastic gene expression parameters given single-cell experiments. We formulate and verify an adaptive delayed acceptance Metropolis-Hastings (ADAMH) algorithm to utilize with reduced Krylov-basis projections of the FSP. We then introduce an extension of the ADAMH into a hybrid scheme that consists of an initial phase to construct a reduced model and a faster second phase to sample from the approximate posterior distribution determined by the constructed model. We test and compare both algorithms to an adaptive Metropolis algorithm with full FSP-based likelihood evaluations on three example models and simulated data to show that the new ADAMH variants achieve substantial speedup in comparison to the full FSP approach. By reducing the computational costs of parameter estimation, we expect the ADAMH approach to enable efficient data-driven estimation for more complex gene regulation models." @default.
• W2899834699 created "2018-11-16" @default.
• W2899834699 creator A5014948692 @default.
• W2899834699 creator A5035826093 @default.
• W2899834699 creator A5057253596 @default.
• W2899834699 creator A5087244907 @default.
• W2899834699 date "2019-02-19" @default.
• W2899834699 modified "2023-10-12" @default.
• W2899834699 title "Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models" @default.
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• W2899834699 cites W1849560532 @default.
• W2899834699 cites W1935773568 @default.
• W2899834699 cites W1954993463 @default.
• W2899834699 cites W1963906834 @default.
• W2899834699 cites W1969674103 @default.
• W2899834699 cites W1974475129 @default.
• W2899834699 cites W1977957488 @default.
• W2899834699 cites W1978319180 @default.
• W2899834699 cites W1984217390 @default.
• W2899834699 cites W1984429906 @default.
• W2899834699 cites W1993482030 @default.
• W2899834699 cites W1995780830 @default.
• W2899834699 cites W1997377511 @default.
• W2899834699 cites W2020830643 @default.
• W2899834699 cites W2030911724 @default.
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• W2899834699 doi "https://doi.org/10.1021/acs.jpcb.8b10946" @default.
• W2899834699 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6697484" @default.
• W2899834699 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30777763" @default.
• W2899834699 hasPublicationYear "2019" @default.
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