DocumentCode
2767867
Title
Predicting Parkinson´s disease related genes using frequent gene co-expression analysis
Author
Zhang, Jie ; Ni, Shiwei ; Parvin, Jeffrey ; Yang, Yufeng ; Huang, Kun
Author_Institution
OSUCCC Biomed. Inf. Shared Resource, Fuzhou Univ., Fuzhou, China
fYear
2011
fDate
12-15 Nov. 2011
Firstpage
1042
Lastpage
1044
Abstract
In this paper, six known PD marker genes as anchor genes and apply frequent gene co-expression analysis to identify genes that frequently co-express with these anchor genes in multiple brain gene expression profiles was studied. Gene set enrichment analysis on these genes demonstrated significant relevance with neurodegenerative diseases and metabolism. These genes will be further screened for experimental validation using transgenic Drosophila models.
Keywords
brain; diseases; genetics; genomics; neurophysiology; Parkinson disease related genes; anchor genes; frequent gene coexpression analysis; gene set enrichment analysis; metabolism; multiple brain gene expression profiles; neurodegenerative diseases; transgenic Drosophila; Alzheimer´s disease; Bioinformatics; Correlation; Gene expression; Genomics; Parkinson´s disease;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4577-1612-6
Type
conf
DOI
10.1109/BIBMW.2011.6112554
Filename
6112554
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