吉林大学学报(理学版) ›› 2019, Vol. 57 ›› Issue (5): 1214-1218.

• 计算机科学 • 上一篇    下一篇

AP数据源融合算法构建基因调控网络

郑明1,2, 刘桂霞2, 卓慕瑰1   

  1. 1. 梧州学院 广西高校行业软件技术重点实验室, 广西 梧州 543002;2. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2018-08-05 出版日期:2019-09-26 发布日期:2019-09-20
  • 通讯作者: 郑明 E-mail:370505375@qq.com

Gene Regulatory Network Construction Based on AP Data Source Fusion Algorithm

ZHENG Ming1,2, LIU Guixia2, ZHUO Mugui1   

  1. 1. Guangxi Colleges and University Key Laboratory of Professional Software Technology, Wuzhou University,Wuzhou 543002, Guangxi Zhuang Autonomous Region, China;2. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2018-08-05 Online:2019-09-26 Published:2019-09-20
  • Contact: ZHENG Ming E-mail:370505375@qq.com

摘要: 针对单一数据集构建基因调控网络算法数据量不足及构建网络结果不精确的问题, 提出一种基于能力与信任(AP)的数据源融合算法. 该算法将基因表达数据、 蛋白质相互作用数据和基序数据集, 分别通过控制与被控制双向数据流传输来分析和构建基因调控网络, 并与ReMoDiscovery,CLR和C3Net三种已开发模型在酵母全基因组网络构建结果的AUC值进行对比. 对比结果表明, 该算法在构建基因调控网络算法方面执行效率更高、 收敛性更强.

关键词: AP算法, 数据源融合, 基因调控网络, 全基因组关联

Abstract: Aiming at the problems of insufficient data and inaccurate results of constructing gene regulatory network algorithm based on single dataset, we proposed a data source fusion algorithm based on availability and responsibility (AP). The gene expression data, protein interaction data and motif data were analyzed and constructed gene regulatory network by controlling and controlled twoway flowing information transmission respectively, and compared with AUC values of three developed models: ReMoDiscovery, CLR and C3Net in yeast genomewide network construction. The comparison results show that the algorithm has higher execution efficiency and stronger convergence in the construction of gene regulatory network algorithm.

Key words: AP algorithm, data source fusion, gene regulatory network, genomewide association

中图分类号: 

  • TP18