Network medicine relies on different types of networks: from the molecular level of protein–protein interactions to gene regulatory network and correlation studies of gene expression. Among network approaches based on the analysis of the topological properties of protein–protein interaction (PPI) networks, we discuss the widespread DIAMOnD (disease module detection) algorithm.
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.
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