The ever-increasing importance of structured data in different applications, especially in the
biomedical field, has driven the need for reducing its complexity through projections into a …

Background: Systems biology and network modeling represent, nowadays, the hallmark
approaches for the development of predictive and targeted-treatment based precision …

As the statistical analysis of networks finds application in an increasing number of
disciplines, novel methodologies are needed to handle such complexity. In particular, cluster …

As the number of graph-level embedding techniques increases at an unprecedented speed,
questions arise about their behavior and performance when training data undergo …

Background Biological networks are representative of the diverse molecular interactions that
occur within cells. Some of the commonly studied biological networks are modeled through …

Networks provide a suitable model for many scientific and technological problems that
require the representation of complex entities and their relations. Life sciences applications …

Many real applications require the representation of complex entities and their relations.
Frequently, networks are the chosen data structures, due to their ability to highlight …

Studies about the metabolic alterations during tumorigenesis have increased our knowledge
of the underlying mechanisms and consequences, which are important for diagnostic and …

Networks provide suitable representative models in many applications, ranging from social
to life sciences. Such representations are able to capture interactions and dependencies …

Essential genes (EGs) are fundamental for the growth and survival of a cell or an organism.
Identifying EGs is an important issue in many areas of biomedical research, such as …