首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:A Novel Ant Colony Optimization Based Algorithm for Identifying Gene Regulatory Elements
  • 本地全文:下载
  • 作者:Liu, Wei ; Chen, Hanwu ; Chen, Ling
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2013
  • 卷号:8
  • 期号:3
  • 页码:613-621
  • DOI:10.4304/jcp.8.3.613-621
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:It is one of the most important tasks in bioinformatics to identify the regulatory elements in gene sequences. Most of the current algorithms for identifying regulatory elements are easily to converge into a local optimum, and have high time complexity. Therefore, we propose a novel optimization algorithm named ACRI(ant-colony-regulatory-identification) for identifying regulatory elements. Based on powerful optimization ability of ant-colony algorithm, the algorithm ACRI can not only improve the quality of results, but also solve the problem at a very high speed. Experimental results show that ACRI can obtain higher quality of solutions using less computational time than other traditional algorithms.
  • 关键词:Bioinformatics;Gene regulatory elements;Ant colony optimization
国家哲学社会科学文献中心版权所有