利用动态贝叶斯网构建基因调控网络的研究进展

Bayesian Networks for Reconstructing Gene Regulatory Networks in Systems Biology Research

构建基因调控网络是21世纪人类科学所面临的重要挑战之一。基因调控网络是一个基因组内基因相互作用而形成的关系网络,它从全基因组水平上以系统和全局的角度来研究复杂的生命现象及其本质。本文阐述了近几年来此领域的研究进展,着重介绍利用动态贝叶斯网络重构基因调控网络的若干模型,包括加权核l1模型,正则化模型、高斯混合贝叶斯网络模型和自回归时间变化模型。

Gene regulatory networks are composed by the interactions of genes in the whole genome,which used to study the complex life and the essence,reconstructing gene regulation networks is one of the most important challenges in the 21 st century.This paper introduces the research progresses in this field,emphatically reconstructing gene regulation networks with dynamic Bayesian networks,including a kernel reweighting-regularization model,Gaussian mixing Bayesian networks model and Auto Regressive Time Varying models.