首页 | 本学科首页   官方微博 | 高级检索  
     检索      

microRNAs家族间负关联模式挖掘
引用本文:韦鑫,陈庆锋.microRNAs家族间负关联模式挖掘[J].平顶山学院学报,2014(5):68-74.
作者姓名:韦鑫  陈庆锋
作者单位:广西大学 计算机与电子信息学院,广西 南宁,530004
摘    要:microRNAs(miRNAs)广泛地存在于动植物的细胞中,它的前体具有发夹结构,并且具有很好的保守性.miRNAs在生物体内对细胞的生长、发育、死亡和病变起着重要作用.研究miRNAs家族间在生物体内的调控关系,对miRNAs在生物组织中的表达进行关联分析和对miRNAs成熟序列、种子区域以及二级结构数据进行相似性比较,从而了解miRNAs家族对生物体的调节机制.为了识别具有高相关性的miRNAs家族负关联模式,引入相关系数来改进传统的挖掘频繁项集算法和用互信息来衡量miRNAs家族间的交互性.

关 键 词:miRNAs  关联分析  相关系数  互信息

Mining Negative Patterns of microRNAs Families
WEI Xin,CHEN Qingfeng.Mining Negative Patterns of microRNAs Families[J].Journal of Pingdingshan University,2014(5):68-74.
Authors:WEI Xin  CHEN Qingfeng
Institution:,School of Computer,Electronics and Information,Guangxi University
Abstract:MicroRNAs( miRNAs) widely exists in plant and animal cells,and its precursor,which has hairpin structure,is well conservative. MiRNAs plays an important roles in many biological processes,including cell proliferation,differentiation,growth,metabolism,apoptosis and diseases in order to further study the regulatory relationship between two miRNAs families in many organisms,this paper employs association analysis in terms of the expression of miRNAs in tissue,and compares the similarity of mature sequence of miRNAs,seed region and secondary structure. To identify the significant correlation negative patterns between miRNAs families,correlation coefficient is applied to extend and adapt traditional mining frequent item sets and mutual information is employed to indentify relationships between miRNAs families.
Keywords:miRNAs  association analysis  correlation coefficient  mutual information
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号