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随机游走算法在疾病相关关系预测中的应用
引用本文:杨杰,罗洪.随机游走算法在疾病相关关系预测中的应用[J].西南民族大学学报(自然科学版),2017,43(6):607-612.
作者姓名:杨杰  罗洪
作者单位:西南民族大学计算机科学与技术学院,西南民族大学计算机科学与技术学院
基金项目:中央高校基本科研业务费青年教师(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.

关 键 词:随机游走  基因  复杂疾病
收稿时间:2017/9/24 0:00:00
修稿时间:2017/9/24 0:00:00

The application of random walk algorithm in the prediction of disease correlation
YANG Jie and LUO Hong.The application of random walk algorithm in the prediction of disease correlation[J].Journal of Southwest University for Nationalities(Natural Science Edition),2017,43(6):607-612.
Authors:YANG Jie and LUO Hong
Institution:School of computer Science and Technology,Southwest University for Nationalities,School of computer Science and Technology,Southwest University for Nationalities
Abstract:With the rapid development of genomic technology, how to deal with and use the massive biological data is becoming more and more important. The relationship between human complex diseases and genes has become one of research hot spots. In this paper, the basic principle of random walk algorithm is expounded. Then, the application of random walk algorithm based on random 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.
Keywords:random walk  gene  complexs  disease
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