Ensemble decision of local similarity indices on the biological network for disease related gene prediction.

ABSTRACT: Link prediction (LP) is a task for the identification of potential, missing and spurious links in complex networks. Protein-protein interaction (PPI) networks are important for understanding the underlying biological mechanisms of diseases. Many complex networks have been constructed using LP methods; however, there are a limited number of studies that focus on disease-related gene predictions and evaluate these genes using various evaluation criteria. The main objective of the study is to investigate the effect of a simple ensemble method in disease related gene predictions. Local similarity indices (LSIs) based disease related gene predictions were integrated by a simple ensemble decision method, simple majority voting (SMV), on the PPI network to detect accurate disease related genes. H

SUBMITTER: Cingiz MO 

PROVIDER: S-EPMC11380840 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature