A network biology workflow to study transcriptomics data of the diabetic liver.

ABSTRACT:

Background

Nowadays a broad collection of transcriptomics data is publicly available in online repositories. Methods for analyzing these data often aim at deciphering the influence of gene expression at the process level. Biological pathway diagrams depict known processes and capture the interactions of gene products and metabolites, information that is essential for the computational analysis and interpretation of transcriptomics data.The present study describes a comprehensive network biology workflow that integrates differential gene expression in the human diabetic liver with pathway information by building a network of interconnected pathways. Worldwide, the incidence of type 2 diabetes mellitus is increasing dramatically, and to better understand this multifactorial disease,

SUBMITTER: Kutmon M 

PROVIDER: S-EPMC4246458 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature