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Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana

机译：使用高阶动态贝叶斯网络对拟南芥生物钟的周期性数据进行建模

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Modelling gene regulatory networks in organisms is an important task that has recently become possible due to large scale assays using technologies such as microarrays. In this paper, the circadian clock of Arabidopsis thaliana is modelled by fitting dynamic Bayesian networks to luminescence data gathered from experiments. This work differs from previous modelling attempts by using higher-order dynamic Bayesian networks to explicitly model the time lag between the various genes being expressed. In order to achieve this goal, new techniques in preprocessing the data and in evaluating a learned model are proposed. It is shown that it is possible, to some extent, to model these time delays using a higher-order dynamic Bayesian network.

机译：在生物体中建立基因调控网络的模型是一项重要任务，由于使用诸如微阵列的技术进行大规模测定，最近已成为可能。在本文中，拟南芥的生物钟通过将动态贝叶斯网络与实验收集的发光数据拟合来建模。这项工作与以前的建模尝试不同，它使用高阶动态贝叶斯网络来显式地建模要表达的各种基因之间的时间间隔。为了实现此目标，提出了预处理数据和评估学习模型的新技术。结果表明，在一定程度上可以使用高阶动态贝叶斯网络对这些时间延迟进行建模。

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来源
《Pattern recognition in bioinformatics》|2009年|67-78|共12页
会议地点 Sheffield(GB);Sheffield(GB)
作者
Ronan Daly; Kieron D. Edwards; John S. ONeill; Stuart Aitken; Andrew J. Millar; Mark Girolami;
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作者单位

Inference Group, Department of Computing Science, University of Glasgow;

Advanced Technologies (Cambridge) Limited;

Institute of Metabolic Science, Metabolic Research Laboratories, University of Cambridge;

Centre for Systems Biology at Edinburgh, The University of Edinburgh;

Centre for Systems Biology at Edinburgh, The University of Edinburgh;

Inference Group, Department of Computing Science, University of Glasgow;

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正文语种 eng
中图分类生物工程学（生物技术）;
关键词
dynamic bayesian network; gene regulatory network; gene expression; arabidopsis thaliana;

机译：动态贝叶斯网络；基因调控网络；基因表达;拟南芥;

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专利

1. Modelling genetic networks with noisy and varied experimental data: the circadian clock in Arabidopsis thaliana [J] . Locke JCW, Millar AJ, Turner MS Journal of Theoretical Biology . 2005,第3期

机译：利用嘈杂的实验数据对遗传网络进行建模：拟南芥中的生物钟
2. Circadian Clock- and PIF4-Controlled Plant Growth: A Coincidence Mechanism Directly Integrates a Hormone Signaling Network into the Photoperiodic Control of Plant Architectures in Arabidopsis thaliana [J] . Yuichi Nomoto Saori Kubozono Takafumi Yamashino* Norihito Nakamichi and Takeshi Mizuno Plant and Cell Physiology . 2012,第11期

机译：昼夜节律和PIF4控制的植物生长：巧合机制直接将激素信号网络整合到拟南芥植物结构的光周期控制中。
3. Circadian Clock- and PIF4-Controlled Plant Growth: A Coincidence Mechanism Directly Integrates a Hormone Signaling Network into the Photoperiodic Control of Plant Architectures in Arabidopsis thaliana [J] . Nomoto Yuichi, Kubozono Saori, Yamashino Takafumi, Plant and cell physiology . 2012,第11期

机译：昼夜节律和PIF4控制的植物生长：巧合机制直接将激素信号网络整合到拟南芥植物结构的光周期控制中。
4. Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana [C] . Ronan Daly, Kieron D. Edwards, John S. ONeill, International Workshop on Pattern Recognition in Bioinformatics . 2009

机译：使用高阶动态贝叶斯网络从拟南芥昼夜昼夜昼夜模拟定期数据
5. Bayesian Dynamic Network Modeling with Censored Flow Data [D] . Cozzi, Brian Thomas. 2020

机译：贝叶斯动态网络建模官方流量数据
6. Mathematical modeling of an oscillating gene circuit to unravel the circadian clock network of Arabidopsis thaliana [O] . Nora Bujdoso, Seth J. Davis 2013

机译：振荡电路基因的数学建模解开拟南芥的生物钟网络
7. Mathematical modeling of an oscillating gene circuit to unravel the circadian-clock network of Arabidopsis thaliana [O] . Nora eBujdoso, Seth Jon Davis 2013

机译：振荡基因电路的数学建模解开拟南芥的生物钟网络

Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana

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