Cohesin is important for 3D genome organization. Nevertheless, even the complete removal
of cohesin has surprisingly little impact on steady-state gene transcription and enhancer …

Identifying and quantifying dissimilarities among graphs is a fundamental and challenging
problem of practical importance in many fields of science. Current methods of network …

Soil ecological functions are largely determined by the activities of soil microorganisms,
which, in turn, are regulated by relevant interactions between genes and their corresponding …

An important problem in network survivability assessment is the identification of critical
nodes. The distance-based critical node detection problem addresses the issues of internal …

We present a new approach for handwritten signature classification and verification based
on descriptors stemming from time causal information theory. The proposal uses the …

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 …

In the last two decades, network science has proven to be an invaluable tool for the analysis
of empirical systems across a wide spectrum of disciplines, with applications to data …

Networks are useful descriptions of the structure of many complex systems. Unsurprisingly, it
is thus important to analyze the robustness of networks in many scientific disciplines. In …

Complex networks theory have gained wider applicability since methods for transformation
of time series to networks were proposed and successfully tested. In the last few years …

The use of Bandt–Pompe probability distributions and descriptors of information theory has
been presenting satisfactory results with low computational cost in the time series analysis …