Network-based analysis of transcriptional profiles from chemical perturbations experiments.

ABSTRACT:

Background

Methods for inference and comparison of biological networks are emerging as powerful tools for the identification of groups of tightly connected genes whose activity may be altered during disease progression or due to chemical perturbations. Connectivity-based comparisons help identify aggregate changes that would be difficult to detect with differential analysis methods comparing individual genes.

Methods

In this study, we describe a pipeline for network comparison and its application to the analysis of gene expression datasets from chemical perturbation experiments, with the goal of elucidating the modes of actions of the profiled perturbations. We apply our pipeline to the analysis of the DrugMatrix and the TG-GATEs, two of the largest toxicogenomics resources

SUBMITTER: Mulas F 

PROVIDER: S-EPMC5374700 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature