Figure 1. A summary of network-assisted genetics approaches to study C. neoformans pathogenicity and drug resistance.

The co-functional links between C. neoformans genes derived from 14 diverse data sets, including co-citation, co-expression, domain co-occurrence, gene neighborhood, phylogenetic profiling, and associalogs from S. cerevisiae and H. sapiens, were integrated by Bayesian statistics into a single network, CryptoNet. Two network approaches, guilt-by-association and context-associated hub, were used to predict novel genes involved in pathogenicity and drug resistance in C. neoformans.