Network analysis methods are increasingly applied to study biological processes at the ‘-omic’ level. These techniques successfully combine Bayesian, graph theoretic and statistical inference approaches to identify key genetic modules. I will further develop these ideas and apply them to recent research in neuroscience, investigating signaling processes in neuron-astrocyte stem-cell co-cultures through combined analysis of transcriptomic and epigenetic changes. Novel methods will be developed to integrate and query ‘omics’ data via network methodologies and machine learning classification. In addition to the mathematical and computational techniques thus developed, the results will contribute toward further research into neural co-cultures for disease study.