High-throughput technologies have revolutionized medical research. The advent of
genoty** arrays enabled large-scale genome-wide association studies and methods for …

Detecting a community in a network is a matter of discerning the distinct features and
connections of a group of members that are different from those in other communities. The …

Understanding the functional consequences of genetic variation, and how it affects complex
human disease and quantitative traits, remains a critical challenge for biomedicine. We …

Biomarkers have transformed modern medicine but remain largely elusive in psychiatry,
partly because there is a weak correspondence between diagnostic labels and their …

Given the functional interdependencies between the molecular components in a human cell,
a disease is rarely a consequence of an abnormality in a single gene, but reflects the …

The modern science of networks has brought significant advances to our understanding of
complex systems. One of the most relevant features of graphs representing real systems is …

Background Correlation networks are increasingly being used in bioinformatics applications.
For example, weighted gene co-expression network analysis is a systems biology method …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

A key aim of postgenomic biomedical research is to systematically catalogue all molecules
and their interactions within a living cell. There is a clear need to understand how these …