The metabolic network of \textit{Clostridium acetobutylicum}: comparison of the approximate Bayesian computation via sequential Monte Carlo (ABC-SMC) and profile likelihood estimation (PLE) methods for determinability analysis

DOI10.1016/J.MBS.2015.10.016zbMath1364.92013OpenAlexW2163544772WikidataQ40328818 ScholiaQ40328818MaRDI QIDQ899594

John R. King, Graeme J. Thorn

Publication date: 30 December 2015

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2015.10.016

zbMATH Keywords

systems biologyAB fermentationBayesian parameter estimationprofile likelihood estimationClostridium acetobutylicumODE modeling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Biochemistry, molecular biology (92C40)

Related Items (1)

Modelling the role of CtfA/B in reverse shift continuous culture experiments of \textit{Clostridium acetobutylicum}

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• pH-induced gene regulation of solvent production by \textit{Clostridium acetobutylicum} in continuous culture: parameter estimation and sporulation modelling
• On Profile Likelihood

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