【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.更多还原

【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 C3 Net 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.更多还原