Title :
Meta-analysis and Network Analysis of Five Ovarian Cancer Gene Expression Dataset
Author :
Dong, Hua ; Hong, Shengjun ; Xu, Xiaomin ; Xiao, Yanghua ; Jin, Li ; Xiong, Momiao
Author_Institution :
State Key Lab. of Genetic Eng., Fudan Univ., Shanghai, China
Abstract :
Ovarian cancer is the fifth leading cause of death from cancer in women and the leading cause of death from gynecological cancer. Here we present a meta-analysis of five gene expression data sets of 432 ovarian cancer and 42 adjacent normal samples in total. We indentified 3 genes: NDN, RNASE4, IGFBP4 were significantly differentially expressed in both five data sets. After combined the dataset by meta-analysis, 3722 genes were significant (p-value
Keywords :
Biological information theory; Biomedical computing; Cancer; Computer networks; Computer science; Gene expression; Genetic engineering; Laboratories; Neoplasms; Proteins; co-expression network; meta-analysis; microarray; ovarian cancer;
Conference_Titel :
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location :
Huangshan, Anhui, China
Print_ISBN :
978-1-4244-6812-6
Electronic_ISBN :
978-1-4244-6813-3
DOI :
10.1109/CSO.2010.245
