中图分类号：TP311       文献标识码：A       文章编号：2096-4706（2018）01-0112-03

LncRNA Prediction Method for Disease Association Based on Asynchronous Subtractive Group Optimization

WANG Bo^1，2，ZHANG Jing¹

（1.College of Computer Science and Technology，Harbin Engineering University，Harbin 150001，China；2.College of Computer and Control Engineering，Qiqihar University，Qiqihar 161006，China）

Abstract：Optimization method is improved，and a asynchronous subtractive group optimization method is put forward in this paper. LncRNA feature extraction is carried out from four levels of biological significance，base pairs，sequence and secondary structure.The asynchronous subtractive group optimization method is used for similarity calculation. Nextly a new type of LncRNA prediction method associated with disease is put forward. At last the experimental results show that the prediction accuracy is higher，and high value of popularization and application for this method.

Keywords：asynchronous subtractive ；group optimization；disease associations；LncRNA；prediction

基金项目： 国家自然科学基金（ 项目编号：51679058）；黑龙江省省属高等学校基本科研业务费科研项目（项目编号：135109249）；齐齐哈市科学技术计划工业攻关项目（项目编号：GYGG-201416）

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