ICan: an integrated co-alteration network to identify ovarian cancer-related genes.

ABSTRACT:

Background

Over the last decade, an increasing number of integrative studies on cancer-related genes have been published. Integrative analyses aim to overcome the limitation of a single data type, and provide a more complete view of carcinogenesis. The vast majority of these studies used sample-matched data of gene expression and copy number to investigate the impact of copy number alteration on gene expression, and to predict and prioritize candidate oncogenes and tumor suppressor genes. However, correlations between genes were neglected in these studies. Our work aimed to evaluate the co-alteration of copy number, methylation and expression, allowing us to identify cancer-related genes and essential functional modules in cancer.

Results

We built the Integrated Co-alteratio

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC4372216 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature