The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …

The expanding generation of dynamic biological data requires approaches that integrate
and analyze information from different types of cellular processes–metabolism, regulation …

This paper presents a comparative study of entropy estimation in a large-alphabet regime. A
variety of entropy estimators have been proposed over the years, where each estimator is …

Entropy makes it possible to measure the uncertainty about an information source from the
distribution of its output symbols. It is known that the maximum Shannon's entropy of a …

Motivation: Gene network inference (GNI) algorithms enable the researchers to explore the
interactions among the genes and gene products by revealing these interactions. The …

Gene networks allow researchers to understand the underlying mechanisms between
diseases and genes while reducing the need for wet lab experiments. Numerous gene …

The advantages of using mutual information to evaluate the correlation between
randomness tests have recently been demonstrated. However, it has been pointed out that …

In the literature there can be found a wide collection of correlation and association
coefficients used for different structures of data. Generally, some of the correlation …

The probabilistic distribution of the characteristics of Voronoi polygons has been extensively
studied due to its many areas of application. In various works that differ in the number of …

Background Gene network inference (GNI) methods have the potential to reveal functional
relationships between different genes and their products. Most GNI algorithms have been …