Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model

Accurately prioritizing candidate disease genes is an important and challenging problem. Various network-based methods have been developed to predict potential disease genes by utilizing the disease similarity network and molecular networks such as protein interaction or gene co-expression networks.