基于扩散熵的平衡估计寻找DNA序列的编码区和非编码区。
In search of coding and non-coding regions of DNA sequences based on balanced estimation of diffusion entropy.
作者信息
Zhang Jin, Zhang Wenqing, Yang Huijie
机构信息
Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
School of Information Science and Engineering, University of Jinan, Jinan, 250022, China.
出版信息
J Biol Phys. 2016 Jan;42(1):99-106. doi: 10.1007/s10867-015-9399-7. Epub 2015 Aug 29.
Identification of coding regions in DNA sequences remains challenging. Various methods have been proposed, but these are limited by species-dependence and the need for adequate training sets. The elements in DNA coding regions are known to be distributed in a quasi-random way, while those in non-coding regions have typical similar structures. For short sequences, these statistical characteristics cannot be extracted correctly and cannot even be detected. This paper introduces a new way to solve the problem: balanced estimation of diffusion entropy (BEDE).
识别DNA序列中的编码区域仍然具有挑战性。人们已经提出了各种方法，但这些方法受到物种依赖性和对足够训练集需求的限制。已知DNA编码区域中的元件以准随机方式分布，而非编码区域中的元件具有典型的相似结构。对于短序列，这些统计特征无法正确提取，甚至无法检测到。本文介绍了一种解决该问题的新方法：扩散熵的平衡估计（BEDE）。
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