Wednesday 14 April 2010
Network and pathway analysis tools are traditionally used to interrogate gene expression data in order to understand the biological processes affected by a particular manipulation or disease/condition of interest.
A systems-level understanding of the biological processes affected in particular disease states can allow one to identify candidates not only for pharmaceutical intervention but also for potential prognostic and diagnostic markers for the disease.
However, network and pathway analyses are currently underutilized in the interpretation of large-scale genetic association study results.
network analysis of gene expression data
network analysis of allelic association data
- network analysis of genome-wide association study (GWAS)
network analysis of cancer resequencing data