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Dataset Information

Differential networking meta-analysis of gastric cancer across Asian and American racial groups.


ABSTRACT:

Background

Gastric Carcinoma is one of the most lethal cancer around the world, and is also the most common cancers in Eastern Asia. A lot of differentially expressed genes have been detected as being associated with Gastric Carcinoma (GC) progression, however, little is known about the underlying dysfunctional regulation mechanisms. To address this problem, we previously developed a differential networking approach that is characterized by involving differential coexpression analysis (DCEA), stage-specific gene regulatory network (GRN) modelling and differential regulation networking (DRN) analysis.

Result

In order to implement differential networking meta-analysis, we developed a novel framework which integrated the following steps. Considering the complexity and diversity

SUBMITTER: Dai W 

PROVIDER: S-EPMC5998874 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature