Selection of PD Genes from Multiplex Three-Dimensional Brain Gene Expression Mapping

Author

Liu, Qiang ; Li, Haiyun

Author_Institution

Sch. of Biomed. Eng., Capital Med. Univ., Beijing

fYear

2007

fDate

6-8 July 2007

Firstpage

218

Lastpage

221

Abstract

This paper is aimed to select PD gene based on microarray dataset from multiplex 3D brain gene expression mapping. Firstly, we used a statistical method for the normalization of genes. Secondly, we described a strategy to select PD gene. Dividing data into two subsets, calculating the standard deviation (SD) of gene expression and using order statistics and binomial distribution, we chose among the first 10% of genes with lowest SD and found 42 genes overlapping in both subsets. Thirdly, we evaluated the finding genes and extracted 18 PD genes. We conclude that the strategy yields the efficient and accurate search of selection of genes.

Keywords

arrays; brain; cellular biophysics; genetics; molecular biophysics; statistical analysis; PD genes; binomial distribution; microarray dataset; multiplex three-dimensional brain gene expression mapping; normalization; standard deviation; statistical method; Biomedical engineering; Data mining; Gene expression; Genetics; Mice; Parkinson´s disease; Pathogens; Statistical analysis; Statistical distributions; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on

Conference_Location

Wuhan

Print_ISBN

1-4244-1120-3

Type

conf

DOI

10.1109/ICBBE.2007.59

Filename

4272543