COMPARISON OF RNA SECONDARY STRUCTURE USING DISCRETE WAVELET TRANSFORM AND FRACTAL DIMENSION

被引：1

作者：

Liu, Yang ^{[1
]}

Yang, Lina ^{[1
]}

Tang, Yuan Yan ^{[2
]}

Wang, Patrick ^{[3
]}

机构：

[1] Guangxi Univ, Comp & Elect Informat, Nanning, Guangxi, Peoples R China

[2] Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp BDB, Beijing, Peoples R China

[3] Northeastern Univ, Comp & Informat Sci, Boston, MA 02115 USA

来源：

PROCEEDINGS OF 2020 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR) | 2020年

基金：

中国国家自然科学基金;

关键词：

RNA secondary structure; Fractal dimension; Discrete wavelet transform; RNA triple vector curve;

D O I：

10.1109/ICWAPR51924.2020.9494386

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As the role of RNA molecules was discovered more and more, the similarity between RNA sequences was studied widely. However, because RNA has a conserved secondary structure rather than a primary structure, it is important to consider structural information in RNA comparisons. In this paper, an RNA secondary structure comparison method based on fractal dimension and wavelet transform is proposed. First, the secondary structure of RNA was represented as TV-curve. Next, based on wavelet transform, the windowed fractal dimension is applied to calculate the similarity between sequences. RNA sequences from the RFAM database were selected for the experiment, and the results obtained were closer to the standard MEGA software compared with Li's algorithm, with lower time complexity.

引用

页码：1 / 7

页数：7

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