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Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions.

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第一作者： Ian,Vernon

第一单位： Department of Mathematical Sciences, Durham University, South Road, Durham, DH1 3LE, UK. i.r.vernon@durham.co.uk.

作者： Ian,Vernon ^[1] ; Junli,Liu ^[2] ; Michael,Goldstein ^[3] ; James,Rowe ^[4] ; Jen,Topping ^[5] ; Keith,Lindsey ^[5]

作者单位： Department of Mathematical Sciences, Durham University, South Road, Durham, DH1 3LE, UK. i.r.vernon@durham.co.uk. ^[1] Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK. junli.liu@durham.ac.uk. ^[2] Department of Mathematical Sciences, Durham University, South Road, Durham, DH1 3LE, UK. ^[3] Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK.;Current address: Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, Sheffield, S10 2TN, UK. ^[4] Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK. ^[5]

关键词 Arabidopsis Bayesian uncertainty analysis Emulation Hormonal signalling Kinetic models Parameter search Root development

医学主题词拟南芥属(Arabidopsis);贝叶斯定理(Bayes Theorem);模型, 生物学(Models, Biological);植物生长调节物(Plant Growth Regulators);植物根(Plant Roots);系统生物学(Systems Biology);偏差(Uncertainty)

DOI 10.1186/s12918-017-0484-3

PMID 29291750

发布时间 2025-05-30

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准确一般字义偏差语意偏离译文作用小提交