A Correlation Analysis on Multiplex Three-Dimensional Brain Gene Expression Mapping of Parkinson Disease

Author

Liu, Qiang ; Li, Haiyun

Author_Institution

Capital Med. Univ., Beijing

fYear

2007

fDate

23-27 May 2007

Firstpage

1594

Lastpage

1597

Abstract

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.

Keywords

biology computing; diseases; genetics; pattern clustering; statistical analysis; Parkinson disease; classification; correlation analysis; correlation coefficient; hierarchical cluster analysis; multiplex 3D brain gene expression mapping; Biomedical engineering; Brain modeling; Gene expression; Genetics; Humans; Mice; Parkinson´s disease; Pathogens; Predictive models; Statistical analysis; PD; classification; correlation coefficient; hierarchical cluster analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1077-4

Electronic_ISBN

978-1-4244-1078-1

Type

conf

DOI

10.1109/ICCME.2007.4382015

Filename

4382015