Differential network analysis reveals dysfunctional regulatory networks in gastric carcinogenesis.

ABSTRACT: Gastric Carcinoma is one of the most common cancers in the world. A large number of differentially expressed genes have been identified as being associated with gastric cancer progression, however, little is known about the underlying regulatory mechanisms. To address this problem, we developed a differential networking approach that is characterized by including a nascent methodology, differential coexpression analysis (DCEA), and two novel quantitative methods for differential regulation analysis. We first applied DCEA to a gene expression dataset of gastric normal mucosa, adenoma and carcinoma samples to identify gene interconnection changes during cancer progression, based on which we inferred normal, adenoma, and carcinoma-specific gene regulation networks by using linear regression m

SUBMITTER: Cao MS 

PROVIDER: S-EPMC4633893 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature