Correlations reveal the hierarchical organization of biological networks with latent variables
Abstract Deciphering the functional organization of large biological networks is a major challenge for current mathematical methods.A common approach is DINING CHAIR to decompose networks into largely independent functional modules, but inferring these modules and their organization from network activity is difficult, given the uncertainties and in