Gene network reconstruction from transcriptional dynamics under kinetic model uncertainty: a case for the second derivative

NCU Institutional Repository > 生醫理工學院 > 生物醫學工程研究所 > 期刊論文 > Item 987654321/26819

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/26819

题名:	Gene network reconstruction from transcriptional dynamics under kinetic model uncertainty: a case for the second derivative
作者:	Bickel,DR;Montazeri,Z;Hsieh,PC;Beatty,M;Lawit,SJ;Bate,NJ
贡献者:	生物醫學工程研究所
关键词:	BAYESIAN VARIABLE SELECTION;CYCLE-REGULATED GENES;MICROARRAY EXPERIMENTS;COMPOUND-MODE;EXPRESSION;CELL;IDENTIFICATION
日期:	2009
上传时间:	2010-06-29 17:54:20 (UTC+8)
出版者:	中央大學
摘要:	Motivation: Measurements of gene expression over time enable the reconstruction of transcriptional networks. However, Bayesian networks and many other current reconstruction methods rely on assumptions that conflict with the differential equations that describe transcriptional kinetics. Practical approximations of kinetic models would enable inferring causal relationships between genes from expression data of microarray, tag-based and conventional platforms, but conclusions are sensitive to the assumptions made. Results: The representation of a sufficiently large portion of genome enables computation of an upper bound on how much confidence one may place in influences between genes on the basis of expression data. Information about which genes encode transcription factors is not necessary but may be incorporated if available. The methodology is generalized to cover cases in which expression measurements are missing for many of the genes that might control the transcription of the genes of interest. The assumption that the gene expression level is roughly proportional to the rate of translation led to better empirical performance than did either the assumption that the gene expression level is roughly proportional to the protein level or the Bayesian model average of both assumptions.
關聯:	BIOINFORMATICS
显示于类别:	[生物醫學工程研究所 ] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	1009	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing

数据加载中.....