MOSES: A New Approach to Integrate Interactome Topology and Functional Features for Disease Gene Prediction.

ABSTRACT: Disease gene prediction is to date one of the main computational challenges of precision medicine. It is still uncertain if disease genes have unique functional properties that distinguish them from other non-disease genes or, from a network perspective, if they are located randomly in the interactome or show specific patterns in the network topology. In this study, we propose a new method for disease gene prediction based on the use of biological knowledge-bases (gene-disease associations, genes functional annotations, etc.) and interactome network topology. The proposed algorithm called MOSES is based on the definition of two somewhat opposing sets of genes both disease-specific from different perspectives: warm seeds (i.e., disease genes obtained from databases) and cold seeds (genes fa

SUBMITTER: Petti M 

PROVIDER: S-EPMC8624742 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature