Statistical Challenges in Biological Networks

Advances in high-throughput technologies have made available a large amount of genomic, transcriptomic, proteomic, and metabolomic biological data. For biomedical researchers to make sense of the vast amount of information contained in such data, and incorporate structural information and knowledge gleaned from targeted experiments, networks can play a key role in their understanding of biological processes and mechanisms. This article discusses some topics pertaining to biological networks and outline the role of statistical methods in their analysis.