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