随机游走算法在疾病相关关系预测中的应用  

Application of random walk algorithm in the prediction of disease correlation

作　　者：杨杰[1] 罗洪[1] 李贵兵[1] 

机构地区：[1]西南民族大学计算机科学与技术学院,四川成都610041

出　　处：《西南民族大学学报（自然科学版）》2017年第6期607-611,共5页Journal of Southwest Minzu University(Natural Science Edition)

基　　金：中央高校基本科研业务费青年教师基金项目(2015NZYQN54)

摘　　要：随着基因组学相关技术的快速发展,如何处理和利用海量的数据问题越来越重要,人类复杂疾病与基因、miRNA和lncRNA的关系也成为研究的热点之一.先阐述了随机游走算法的基本原理,随后分析了几类基于随机游走算法在基因、miRNA和lncRNA与疾病关系预测中的应用研究,最后对随机游走预测算在疾病相关关系预测方面的应用作了总结和展望.With the rapid development of genomic technology, how to deal with and use the massive biological data has become more and more important. The relationship between human complex diseases and genes has become one of the research hot spots. The basic principle of random walk algorithm is expounded. Then, the application of random walk algorithm based on ran- dom walk algorithm in genetic, mirRNAs, lncRNAs and disease relation prediction is analyzed. Finally the methods inferring the relationships with related diseases based on random walk algorithm are summarized and prospected.

关 键 词：随机游走 基因 复杂疾病 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]