Complex diseases are caused by perturbations of biological networks. Genetic analysis
approaches focused on individual genetic determinants are unlikely to characterize the …

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 …

One of the challenges raised by next generation sequencing (NGS) is the identification of
clinically relevant mutations among all the genetic variation found in an individual. Network …

With advances in high-throughput sequencing technologies, quantitative genetics
approaches have provided insights into genetic basis of many complex diseases. Emerging …

The explosion of biomedical data, both on the genomic and proteomic side as well as
clinical data, will require complex integration and analysis to provide new molecular …

Network Medicine applies network science approaches to investigate disease
pathogenesis. Many different analytical methods have been used to infer relevant molecular …

Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …

The co-occurrence of diseases can inform the underlying network biology of shared and
multifunctional genes and pathways. In addition, comorbidities help to elucidate the effects …

Following the widespread use of genome-wide association studies to elucidate the genetic
architectures of complex phenotypes, there has been a push to augment existing …

The past decade has witnessed exponential growth in the generation of high-throughput
human data across almost all known dimensions of biological systems. The discipline of …