The Design of Differentially Expressed Gene Recognition Software Based on Meta-analysis

摘要：

As the traditional analysis of differentially expressed genes can only handle a single data set,we designed and developed the differentially expressed genes recognition software based on meta-analysis to analyze differentially expressed gene. The Software integrated Rank Product meta-analysis algorithm and improvement RSDM algorithm with filtering techniques based on standard deviation. The software has realized the data import and the analysis of differentially expressed gene. Experimental results show that: the software can effectively analyze heterogeneous data sets,find differentially expressed genes,and thus verify the effectiveness of the algorithm.

关键词： meta-analysis rank product standard deviation differentially expressed gene

作者: Jianan Wu Yi Zhong Guixia Liu Yuan Tian Muji Wu You Zhou

作者单位: College of Computer Science and Technology,Jilin University,Changchun,China College of Computer Scie College of Computer Science and Technology,Jilin University,Changchun,China College of Computer Science and Technology,Changchun University,Changchun,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 1174-1179

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）