Relating diseases by integrating gene associations and information flow through protein interaction network.

ABSTRACT: Identifying similar diseases could potentially provide deeper understanding of their underlying causes, and may even hint at possible treatments. For this purpose, it is necessary to have a similarity measure that reflects the underpinning molecular interactions and biological pathways. We have thus devised a network-based measure that can partially fulfill this goal. Our method assigns weights to all proteins (and consequently their encoding genes) by using information flow from a disease to the protein interaction network and back. Similarity between two diseases is then defined as the cosine of the angle between their corresponding weight vectors. The proposed method also provides a way to suggest disease-pathway associations by using the weights assigned to the genes to perform enrichm

SUBMITTER: Hamaneh MB 

PROVIDER: S-EPMC4216010 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature