School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.
J Healthc Eng. 2020 Mar 11;2020:2389527. doi: 10.1155/2020/2389527. eCollection 2020.
In view of time delay existing in gene regulation, by using the analysis idea and methods of complex network, this paper proposes a multi-time-delay gene regulation network analysis method based on the fuzzy label propagation. The algorithm takes the relative change trend coefficient, the correlation coefficient, and the mutual information as the similarity measurement indexes for the gene pair, fully reflecting the correlation of gene pairs and simultaneously obtaining the gene regulation relationship and the time delay through the fuzzy label propagation algorithm of the semisupervised learning. Experimental results of the cell cycle-regulated genes of yeast show that the proposed construction method of GRN can not only correctly select potential regulation genes but also provide details about the gene regulator model, thereby more accurately constructing gene regulation network.
鉴于基因调控中存在的时滞问题,本文利用复杂网络的分析思想和方法,提出了一种基于模糊标签传播的多时滞基因调控网络分析方法。该算法以相对变化趋势系数、相关系数和互信息作为基因对的相似性度量指标,充分反映了基因对的相关性,同时通过半监督学习的模糊标签传播算法获得基因调控关系和时滞。酵母细胞周期调控基因的实验结果表明,所提出的 GRN 构建方法不仅可以正确选择潜在的调控基因,而且可以提供基因调控模型的详细信息,从而更准确地构建基因调控网络。