Progress on Random Walk and Its Application in Network Biology

LI Min; WANG Xiao-tong; LUO Hui-min; MENG Xiang-mao; WANG Jian-xin

doi:10.3969/j.issn.0372-2112.2018.08.033

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Progress on Random Walk and Its Application in Network Biology

更新时间：2025-07-16

- Progress on Random Walk and Its Application in Network Biology
- Acta Electronica Sinica Vol. 46, Issue 8, Pages: 2035-2048(2018)
- 作者机构：
  
  中南大学信息科学与工程学院,湖南,长沙,410083
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China for Excellent Youth Schoolars (No.61622213);National Natural Science Foundation of China (No.61370024);Key Program of National Natural Science Foundation of China (No.61232001)
- DOI：10.3969/j.issn.0372-2112.2018.08.033
  CLC： TP301.6
- Published Online：25 August 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
LI Min, WANG Xiao-tong, LUO Hui-min, et al. Progress on Random Walk and Its Application in Network Biology[J]. Acta Electronica Sinica, 2018, 46(8): 2035-2048.
DOI：

LI Min, WANG Xiao-tong, LUO Hui-min, et al. Progress on Random Walk and Its Application in Network Biology[J]. Acta Electronica Sinica, 2018, 46(8): 2035-2048. DOI： 10.3969/j.issn.0372-2112.2018.08.033.

摘要

网络生物学是近年来受到国际学术界广泛关注的学术前沿领域，在疾病研究和药物预测等领域有重要应用.随机游走（Random Walk）又称随机游动或随机漫步，是一种数学统计模型，在金融、物理和社会网络分析中都有广泛应用.近年来逐渐被应用到网络生物学，并在技术上得到了新的发展.本文以生物网络为基础，介绍了随机游走技术及其基本理论，并详细阐述了随机游走技术在网络生物学中的应用，具体包括蛋白质功能预测、关键蛋白质识别、疾病基因预测、疾病相关非编码RNA预测、药物相关预测等.最后讨论了随机游走技术在网络生物学研究中存在的问题以及未来的研究方向.

Abstract

Network biology

as a hot academic frontier field

has gained increasingly wide attention in international academic circles in recent years

which plays an important role in disease research and drug discovery.Random walk is a mathematical model

which is widely used in financial

physical and social network analysis.Recently

it has gradually been applied in network biology

and the model has been improved constantly.Based on the biological network

this study introduces the technology and basic theory of random walk model firstly.Then

the applications of random walk in network biology are presented in detail

which include predicting protein functions

identifying essential proteins

predicting disease gene

discovering disease related non-coding RNAs

discovering disease related things and so on.Finally

some existing problems and future research directions of random walk in network biology research are discussed in this study.

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