Network evolution is a ubiquitous phenomenon in a wide variety of complex systems. There is an increasing interest in statistically modeling the evolution of complex networks such...
—Digitization of production factors, including the knowledge for knowledge workers and consumers, opens almost infinite potential to connect persons, systems, processes, enterpri...
The interest in inference in the wavelet domain remains vibrant area of statistical research because of needs of scientific community to process and explore massive data sets. Prim...
Ilya Lavrik, Yoon Young Jung, Fabrizio Ruggeri, Br...
Background: Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to d...