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	Eukaryotic promoter prediction based on relative entropy and positional information
	Wu, Shuanhu ; Xie, Xudong ; Liew, Alan Wee-Chung ; Yan, Hong
	2010-05-06 ; 2010-05-06
关键词	TRANSCRIPTION START SITES HUMAN GENOME CPG ISLANDS SEQUENCES REGIONS DNA IDENTIFICATION RECOGNITION DATABASES ELEMENTS Physics, Fluids & Plasmas Physics, Mathematical
中文摘要	The eukaryotic promoter prediction is one of the most important problems in DNA sequence analysis, but also a very difficult one. Although a number of algorithms have been proposed, their performances are still limited by low sensitivities and high false positives. We present a method for improving the performance of promoter regions prediction. We focus on the selection of most effective features for different functional regions in DNA sequences. Our feature selection algorithm is based on relative entropy or Kullback-Leibler divergence, and a system combined with position-specific information for promoter regions prediction is developed. The results of testing on large genomic sequences and comparisons with the PromoterInspector and Dragon Promoter Finder show that our algorithm is efficient with higher sensitivity and specificity in predicting promoter regions.
语种	英语 ; 英语
出版者	AMERICAN PHYSICAL SOC ; COLLEGE PK ; ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11078]
专题	清华大学
推荐引用方式 GB/T 7714	Wu, Shuanhu,Xie, Xudong,Liew, Alan Wee-Chung,et al. Eukaryotic promoter prediction based on relative entropy and positional information[J],2010, 2010.
APA	Wu, Shuanhu,Xie, Xudong,Liew, Alan Wee-Chung,&Yan, Hong.(2010).Eukaryotic promoter prediction based on relative entropy and positional information..
MLA	Wu, Shuanhu,et al."Eukaryotic promoter prediction based on relative entropy and positional information".(2010).

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