Network-based disease gene prioritization based on Protein–Protein Interaction Networks

Abstract

The process to identify genes responsible for a disease is a complex task. The various experimental techniques developed to identify disease-causing genes suffer from the problem of high-cost and high time consumption. Thus, with the increasing amount of biological information available online various computational techniques have been developed to complete this complex task of identification of disease-causing genes. A more accepted view is that the genes related to similar diseases reside in the same neighborhood of the molecular network. In this review, various categories of computational techniques for disease gene prioritization have been highlighted and compared. The work majorly focuses on various categories of approaches that use protein–protein interaction networks with data from heterogeneous sources and heterogeneous biological types. Furthermore, a comparison of these approaches is done and also some issues related to them are discussed.