Biological Random Walks: Integrating heterogeneous data in disease gene prioritization

This work proposes a unified framework to leveragebiological information in network propagation-based gene prior-itization algorithms. Preliminary results on breast cancer datashow significant improvements over state-of-the-art baselines,such as the prioritization of genes that are not identified aspotential candidates by interactome-based algorithms, but thatappear to be involved in/or potentially related to breast cancer,according to a functional analysis based on recent literature.