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Bayesian inference based modelling for gene transcriptional dynamics by integrating multiple source of knowledge

机译：通过整合多种知识来源的基于贝叶斯推理的基因转录动力学建模

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摘要

BackgroundA key challenge in the post genome era is to identify genome-wide transcriptional regulatory networks, which specify the interactions between transcription factors and their target genes. Numerous methods have been developed for reconstructing gene regulatory networks from expression data. However, most of them are based on coarse grained qualitative models, and cannot provide a quantitative view of regulatory systems.

机译：背景技术在后基因组时代的一个关键挑战是确定全基因组范围的转录调控网络，该网络规定了转录因子与其靶基因之间的相互作用。已经开发出许多用于从表达数据重建基因调控网络的方法。但是，它们中的大多数都基于粗糙的定性模型，无法提供监管系统的定量视图。

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期刊名称 BMC Systems Biology
作者
Shu-Qiang Wang; Han-Xiong Li;
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作者单位

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年(卷),期 2012(6),Suppl 1
年度 2012
页码 S3
总页数 13
原文格式 PDF
正文语种
中图分类生物学;
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专利

1. Bayesian inference based modelling for gene transcriptional dynamics by integrating multiple source of knowledge [J] . Shu-Qiang Wang, Han-Xiong Li BMC Veterinary Research . 2012,第SUPPLEMENTa1期

机译：通过整合多种知识来源的基于贝叶斯推理的基因转录动力学建模
2. Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference [J] . Siegelmann HT, Holzman LE Chaos . 2010,第3期

机译：动态源的神经元整合：贝叶斯学习和贝叶斯推理
3. A Bayesian inference approach to account for multiple sources of uncertainty in a macroalgae based integrated multi-trophic aquaculture model [J] . Hadley Scott, Jones Emlyn, Johnson Craig, Environmental Modelling & Software . 2016,第Apra期

机译：贝叶斯推理方法可解决基于大型藻类的综合多营养水产养殖模型中的多种不确定性来源
4. A quantitative framework of transcriptional dynamics by integrating multiple sources of knowledge [C] . Shu-Qiang Wang, Han-Xiong Li 2011 IEEE International Conference on Systems Biology . 2011

机译：通过整合多种知识来源的转录动力学定量框架
5. Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modelling of family-based genetic data. [D] . Bae, Harold T. 2014

机译：通过多种遗传模型的贝叶斯模型选择和基于家庭的遗传数据的网络建模，了解复杂的多基因性状的遗传基础。
6. Improving Bayesian Population Dynamics Inference: A Coalescent-Based Model for Multiple Loci [O] . Mandev S. Gill, Philippe Lemey, Nuno R. Faria, -1

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7. Bayesian inference based modelling for gene transcriptional dynamics by integrating multiple source of knowledge [O] . 2012

机译：通过整合多种知识来源的基于贝叶斯推理的基因转录动力学建模
8. Analysis of molecular expression patterns and integration with other knowledge bases using probabilistic Bayesian network models [R] . Moler, E. J., Mian, I. S. 2000

机译：使用概率贝叶斯网络模型分析分子表达模式并与其他知识库整合

Bayesian inference based modelling for gene transcriptional dynamics by integrating multiple source of knowledge

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