title: In search of coding and non-coding regions of DNA sequences based on balanced estimation of diffusion entropy.
abstract: 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).
authors: Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China. zdypaper@163.com.|School of Information Science and Engineering, University of Jinan, Jinan, 250022, China. zdypaper@163.com.
authors: Jin
authors: J
authors: Zhang
authors: Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
authors: Wenqing
authors: W
authors: Zhang
authors: Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
authors: Huijie
authors: H
authors: Yang
mesh_terms: D001483:Base Sequence; D004271:DNA, Fungal / Q000235:genetics*; D004058:Diffusion; D019277:Entropy; D008957:Models, Genetic
chemical_list: D004271:DNA, Fungal
keywords: BEDE; Coding regions; Diffusion entropy; Non-coding regions; Self-similar structure; Time series