Bayesian Learning from Marginal Data in Bionetwork Models
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DOI: 10.2202/1544-6115.1684
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- Mark Hallen & Bochong Li & Yu Tanouchi & Cheemeng Tan & Mike West & Lingchong You, 2011. "Computation of Steady-State Probability Distributions in Stochastic Models of Cellular Networks," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-16, October.
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- Nunes Matthew A & Balding David J, 2010. "On Optimal Selection of Summary Statistics for Approximate Bayesian Computation," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-16, September.
- Timothy S. Gardner & Charles R. Cantor & James J. Collins, 2000. "Construction of a genetic toggle switch in Escherichia coli," Nature, Nature, vol. 403(6767), pages 339-342, January.
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Cited by:
- Espen Bernton & Pierre E. Jacob & Mathieu Gerber & Christian P. Robert, 2019. "Approximate Bayesian computation with the Wasserstein distance," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 81(2), pages 235-269, April.
- Artémis Llamosi & Andres M Gonzalez-Vargas & Cristian Versari & Eugenio Cinquemani & Giancarlo Ferrari-Trecate & Pascal Hersen & Gregory Batt, 2016. "What Population Reveals about Individual Cell Identity: Single-Cell Parameter Estimation of Models of Gene Expression in Yeast," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-18, February.
- Buzbas, Erkan O. & Rosenberg, Noah A., 2015. "AABC: Approximate approximate Bayesian computation for inference in population-genetic models," Theoretical Population Biology, Elsevier, vol. 99(C), pages 31-42.
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Keywords
approximate Bayesian computation (ABC); biological signatures; dynamic stochastic network models; flow cytometry data; posterior simulation; synthetic gene circuit; systems biology; toggle switch model;All these keywords.
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