Before revision:  Clustering networks derived from gene microarrays, protein affinity , sorted cell populations, electrophysiology , functional magnetic resonance imaging of resting-state brain activity, and synthetic datasets validate the ability of SpeakEasy to facilitate biological insights. For instance, we can identify overlapping co-regulated genes sets, multi-complex proteins and robust changes to the community structure of co-active brain regions in Parkinson disease. These insights rely on a robust overlapping clustering approach that enables a more realistic interpretation of common high-throughput datasets .
After revision:  Clustering networks derived from gene microarrays, protein affinity , sorted cell populations, electrophysiology and fMRI brain imaging .