  We discuss in this survey several network modeling methods and their
applicability to precision medicine. We review several network centrality
methods (degree centrality, closeness centrality, eccentricity centrality,
betweenness centrality, and eigenvector-based prestige) and two systems
controllability methods (minimum dominating sets and network structural
controllability). We demonstrate their applicability to precision medicine on
three multiple myeloma patient disease networks. Each network consists of
protein-protein interactions built around a specific patient's mutated genes,
around the targets of the drugs used in the standard of care in multiple
myeloma, and around multiple myeloma-specific essential genes. For each network
we demonstrate how the network methods we discuss can be used to identify
personalized, targeted drug combinations uniquely suited to that patient.
