Identifying novel glioma associated pathways based on systems biology level meta-analysis.

ABSTRACT:

Background

With recent advances in microarray technology, including genomics, proteomics, and metabolomics, it brings a great challenge for integrating this "-omics" data to analysis complex disease. Glioma is an extremely aggressive and lethal form of brain tumor, and thus the study of the molecule mechanism underlying glioma remains very important. To date, most studies focus on detecting the differentially expressed genes in glioma. However, the meta-analysis for pathway analysis based on multiple microarray datasets has not been systematically pursued.

Results

In this study, we therefore developed a systems biology based approach by integrating three types of omics data to identify common pathways in glioma. Firstly, the meta-analysis has been performed to study the over

SUBMITTER: Hu Y 

PROVIDER: S-EPMC3866263 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature