Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity.

ABSTRACT:

Background

Identifying diagnosis and prognosis biomarkers from expression profiling data is of great significance for achieving personalized medicine and designing therapeutic strategy in complex diseases. However, the reproducibility of identified biomarkers across tissues and experiments is still a challenge for this issue.

Results

We propose a strategy based on discriminative area of module activities to identify gene biomarkers which interconnect as a subnetwork or module by integrating gene expression data and protein-protein interactions. Then, we implement the procedure in T2DM as a case study and identify a module biomarker with 32 genes from mRNA expression data in skeletal muscle for T2DM. This module biomarker is enriched with known causal genes and related functi

SUBMITTER: Zhang X 

PROVIDER: S-EPMC4374500 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature