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A High-Throughput Functional Complementation Assay for Classification of BRCA1 Missense Variants
(2013)
Using a cell-based gas biosensor for investigation of adverse effects of acetone vapors in vitro
(2013)
The network approach towards the analysis of the dynamics of complex systems has been successfully applied in a multitude of studies in the neurosciences and has yielded fascinating insights. With this approach, a complex system is considered to be composed of different constituents which interact with each other. Interaction structures can be compactly represented in interaction networks. In this contribution, we present a brief overview about how interaction networks are derived from multivariate time series, about basic network characteristics, and about challenges associated with this analysis approach.