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
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;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
DOI :
10.1109/BIBMW.2011.6112554
