VAN: an R package for identifying biologically perturbed networks via differential variability analysis.

ABSTRACT:

Background

Large-scale molecular interaction networks are dynamic in nature and are of special interest in the analysis of complex diseases, which are characterized by network-level perturbations rather than changes in individual genes/proteins. The methods developed for the identification of differentially expressed genes or gene sets are not suitable for network-level analyses. Consequently, bioinformatics approaches that enable a joint analysis of high-throughput transcriptomics datasets and large-scale molecular interaction networks for identifying perturbed networks are gaining popularity. Typically, these approaches require the sequential application of multiple bioinformatics techniques - ID mapping, network analysis, and network visualization. Here, we present the Variabili

SUBMITTER: Jayaswal V 

PROVIDER: S-EPMC4015612 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature