Integrating gene regulatory pathways into differential network analysis of gene expression data.

ABSTRACT: The advent of next-generation sequencing has introduced new opportunities in analyzing gene expression data. Research in systems biology has taken advantage of these opportunities by gleaning insights into gene regulatory networks through the analysis of gene association networks. Contrasting networks from different populations can reveal the many different roles genes fill, which can lead to new discoveries in gene function. Pathologies can also arise from aberrations in these gene-gene interactions. Exposing these network irregularities provides a new avenue for understanding and treating diseases. A general framework for integrating known gene regulatory pathways into a differential network analysis between two populations is proposed. The framework importantly allows for any gene-gene

SUBMITTER: Grimes T 

PROVIDER: S-EPMC6445151 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature