Enriching Human Interactome with Functional Mutations to Detect High-Impact Network Modules Underlying Complex Diseases.

ABSTRACT: Rapid progress in high-throughput -omics technologies moves us one step closer to the datacalypse in life sciences. In spite of the already generated volumes of data, our knowledge of the molecular mechanisms underlying complex genetic diseases remains limited. Increasing evidence shows that biological networks are essential, albeit not sufficient, for the better understanding of these mechanisms. The identification of disease-specific functional modules in the human interactome can provide a more focused insight into the mechanistic nature of the disease. However, carving a disease network module from the whole interactome is a difficult task. In this paper, we propose a computational framework, Discovering most IMpacted SUbnetworks in interactoMe (DIMSUM), which enables the integration o

SUBMITTER: Cui H 

PROVIDER: S-EPMC6895925 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature