Associating genes and protein complexes with disease via network propagation.

ABSTRACT: A fundamental challenge in human health is the identification of disease-causing genes. Recently, several studies have tackled this challenge via a network-based approach, motivated by the observation that genes causing the same or similar diseases tend to lie close to one another in a network of protein-protein or functional interactions. However, most of these approaches use only local network information in the inference process and are restricted to inferring single gene associations. Here, we provide a global, network-based method for prioritizing disease genes and inferring protein complex associations, which we call PRINCE. The method is based on formulating constraints on the prioritization function that relate to its smoothness over the network and usage of prior information. We e

SUBMITTER: Vanunu O 

PROVIDER: S-EPMC2797085 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature