期刊文献+

基于能量因子的基因调控网络重构

Reconstruction Gene Regulatory Network Depend on by Energy Factor
下载PDF
导出
摘要 重构基因调控网络有助于探索生命系统的本质问题。线性组合模型以其形式简单和易于求解的特点被成功应用于基因网络的重构过程中。作者针对线性组合模型只考虑了基因之间的线性调控关系的缺陷,引入了能量因子的概念,从而使得模型具备了分析基因间的非线性调控关系的特性。将模型应用于大肠杆菌(Escherichia coli)的SOS DNA修复过程中,实验证明:该模型能较好地拟合大肠杆菌的SOS DNA修复过程,进一步提高了调控网络的构建精度。 Reconstruction of gene regulatory network can help to explore the essence of life.The Linear Combination Model has been successfully applied to the reconstruction of the gene regulator network,since it is very simple and can be easily solved.However,the linear relationships between genes were only considered in the model.In order to circumvent this problem,energy factor has been added in the Linear Combination Model,thus the new model can be used to analysis the nonlinear relationships between genes.Then the present model has been applied to reconstruct the gene regulatory network of Escherichia coli on SOS DNA repair process.Our result demonstrated that the proposed model can be reconstruct SOS DNA repair process well and also improve the accuracy.
出处 《食品与生物技术学报》 CAS CSCD 北大核心 2010年第1期134-138,共5页 Journal of Food Science and Biotechnology
基金 国家863计划项目(2006AA10Z313) 国家自然科学基金项目(60704047) 国家自然科学基金重大研究计划项目(9082002) 2008年江苏省普通高校研究生科研创新计划项目
关键词 基因表达 能量因子 调控网络 DNA修复 gene expression energy factor regulator network DNA repair
  • 相关文献

参考文献13

  • 1Kanehisa M. Post-Genome Informatics[M]. UK:Oxford University Press, 2001.
  • 2雷耀山,史定华,王翼飞.基因调控网络的生物信息学研究[J].自然杂志,2004,26(1):7-12. 被引量:18
  • 3许杨,阮琼芳,李燕萍.表达基因分析方法[J].食品与生物技术学报,2008,27(1):122-126. 被引量:4
  • 4崔光照,张勋才,牛云云.重建基因调控网络[J].生物信息学,2007,5(3):125-128. 被引量:2
  • 5Kauffman SA. Metabolic stability and epigenesis in randomly constructed genetic nets[J]. J Theor Biol, 1969, 22: 437- 467.
  • 6Kauffman S. The lager scale structure and dynamics of gene control circuits: an ensemble approach[J]. J Theor Biol, 1974, 44: 167-190.
  • 7Kato M, Tsunoda T, Takagi T. Inferring genetic networks from DNA microarray data by multiple regression analysis [J]. Genome Informatics, 2000, 11:118-128.
  • 8Quackenbush J. Computational analysis of microarray data[J]. Nat Reviews Genetics, 2001, 2: 418-427.
  • 9Friedman N. Inferring cellular networks using probabilistic graphical models[J]. Science, 2004, 303: 799-805.
  • 10Bickel D R. Probabilities of spurious connections in gene networks: application to expression time series[J]. Bioinformatics, 2005, 21: 1121-1128.

二级参考文献115

共引文献26

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部