Gene-gene interaction network analysis of ovarian cancer using TCGA data.

ABSTRACT:

Background

The Cancer Genome Atlas (TCGA) Data portal provides a platform for researchers to search, download, and analysis data generated by TCGA. The objective of this study was to explore the molecular mechanism of ovarian cancer pathogenesis.

Methods

Microarray data of ovarian cancer were downloaded from TCGA database, and Limma package in R language was used to identify the differentially expressed genes (DEGs) between ovarian cancer and normal samples, followed by the function and pathway annotations of the DEGs. Next, NetBox software was used to for the gene-gene interaction (GGI) network construction and the corresponding modules identification, and functions of genes in the modules were screened using DAVID.

Results

Our studies identified 332 DEGs, including

SUBMITTER: Ying H 

PROVIDER: S-EPMC4029308 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature