One of the main problems with the joint use of multiple drugs is that it may cause adverse
drug interactions and side effects that damage the body. Therefore, it is important to predict …

The biological redundancies in molecular networks of complex diseases limit the efficacy of
many single drug therapies. Combination therapeutics, as a common therapeutic method …

This chapter describes the basic variants of the stochastic blockmodel (SBM), and a
consistent Bayesian formulation that allows readers to infer them from data. The focus is on …

Community detection is an important task in network analysis, in which we aim to learn a
network partition that groups together vertices with similar community-level connectivity …

The dramatic rise in microbial drug resistance in recent years has led to ongoing searches
for novel drugs to add to the armory against infectious disease. Nevertheless, a paucity of …

Finding potent multidrug combinations against cancer and infections is a pressing
therapeutic challenge; however, screening all combinations is difficult because the number …

Drug-drug interaction (DDI) is a change in the effect of a drug when patient takes another
drug. Characterizing DDIs is extremely important to avoid potential adverse drug reactions …

Many network systems are composed of interdependent but distinct types of interactions,
which cannot be fully understood in isolation. These different types of interactions are often …

The empirical validation of community detection methods is often based on available
annotations on the nodes that serve as putative indicators of the large-scale network …

In complex systems, the network of interactions we observe between systems components is
the aggregate of the interactions that occur through different mechanisms or layers. Recent …