【作者】 张轶雯； 何冰； 谢江； 金翊； 张武；

【Author】 ZHANG Yi-wen1,2,HE Bing1,XIE Jiang1,2,JIN Yi1,ZHANG Wu1,2(1 School of Computer Science,Shanghai University,Shanghai 200072,China;2 Institute of Systems Biology,Shanghai University,Shanghai 200444,China)

【机构】 上海大学计算机工程与科学学院； 上海大学系统生物技术研究所；

【摘要】 为有效进行大数据量单基因扰动的生物学实验,基于自适应灰关联聚类算法,提出一个并行自适应灰关联聚类算法,并行处理大数据量的单基因扰动,并建立相应的基因调控网络.计算结果表明,该并行算法具有很好的并行性能.更多还原

【Abstract】 To efficiently process large amount of data for single-gene disturbed experiment,which spends the longer time cycle and the higher cost,a parallel adaptive algorithm of parameter grey relation cluster analysis is developed in this paper.The algorithm can deal with massive data for single-gene disturbance,and establish the gene regulatory network.Compared with sequential computing,numerical results of parallel computing show higher performance of both computing scale and time.更多还原