A Correlation Analysis on Multiplex Three-Dimensional Brain Gene Expression Mapping of Parkinson Disease
This paper is aimed to predict Parkinson disease (PD) genes from multiplex Three-Dimensional brain gene expression mapping. First, we select the available data from the original datasets and use log ratio as the object that we would analysis. Second, correlation coefficient calculated provides information on the correlation between genes based on gene expression levels. Later, classification and hierarchical cluster analysis can help us to find the relevant genes of Parkinson disease. The 27 genes selected by the statistical method are worthy of further experiments to assess the results of microarray.
PD correlation coefficient classification hierarchical cluster analysis
Qiang Liu Haiyun Li
Biomedical Engineering Institute, Capital Medical University, No. 10 Xi tou tiao, You an men Beijing, 100069 P.R. CHINA
国际会议
北京
英文
1622-1625
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)