基于动态贝叶斯网络的多时延基因调控网络构建

分子生物学的主要挑战是如何更好地理解基因间的调控机理。重构调控网络有助于探索生命系统的本质问题。目前,已提出的方法大多数都不考虑基因表达之间的时延,或者假定其时延是一个常量。这为深入理解基因调控的时-空机制带来了困难。现提出一个用连续DBNs构建具有多时延基因调控网络的方法,它可以系统地分析基因之间的调控关系。将其应用于酵母菌的转录调控网络中,结果显示,该方法能更好地估计转录时延,进一步提高了调控网络构建的精度。

Reconstruction of Gene Regulatory Networks with Multi-time Delay Based on Dynamic Bayesian Networks

One of the major challenges in molecular biology is to understand the precise mechanism by which gene expression is regulated. Reconstruction of regulatory networks is essential to modeling this mechanism. Most research work in constructing gene networks either assumes that there is no time delay in gene expression or that there is a constant time delay. An extended approach for modeling a gene networks with Multi-Time Delay by using a DBNs model is provided. It is more accurate in determining the gene structure as compared to the traditional methods. It is evaluated using time series expression data measured during yeast cell cycle. The results suggest that it is possible to unambiguously determine gene regulatory network with time delays from time series gene expression datasets.