Gene regulatory network is a complicated set of interactions between genetic materials,
which dictates how cells develop in living organisms and react to their surrounding …

Pathway analysis has been widely used to detect pathways and functions associated with
complex disease phenotypes. The proliferation of this approach is due to better …

The ability to identify and characterize not only the protein-protein interactions but also their
internal modular organization through network analysis is fundamental for understanding …

Eukaryotic gene regulation is a combinatorial, dynamic, and quantitative process that plays
a vital role in development and disease and can be modeled at a systems level in gene …

Metabolite profiling is a powerful approach for the clinical diagnosis of complex diseases,
ranging from cardiometabolic diseases, cancer, and cognitive disorders to respiratory …

Cardiovascular diseases (CVD) are diverse disorders affecting the heart and vasculature in
millions of people worldwide. Like other fields, CVD research has benefitted from the deluge …

Although massive amounts of condition-specific molecular profiles are being accumulated in
public repositories every day, meaningful interpretation of these data remains a major …

It is complicated to identify cancer-causing mutations. The recurrence of a mutation in
patients remains one of the most reliable features of mutation driver status. However, some …

The identification of subnetworks of interest—or active modules—by integrating biological
networks with molecular profiles is a key resource to inform on the processes perturbed in …

Integrating-omics data with biological networks such as protein–protein interaction networks
is a popular and useful approach to interpret expression changes of genes in changing …