Vascular networks are fundamental components of biological systems. Quantitative analysis
and observation of the features of these networks can improve our understanding of their …

The mouse retina has become a prominent model for studying angiogenesis. The easy
access and well-known developmental progression have significantly propelled our ability to …

Introduction: Murine models provide microvascular insights into the 3-D network disarray
seen in retinopathy and cardiovascular diseases. Light-sheet fluorescence microscopy …

In this study we offer an approach to network physiology, which proceeds from
transcriptomic data and uses gene ontology analysis to identify the biological processes …

Graph comparison algorithms based on metric space embedding have been proven robust
in graph clustering and classification. In this paper we propose graph embedding method …

Graph classification is an important area in both modern research and industry. Multiple
applications, especially in chemistry and novel drug discovery, encourage rapid …

We propose a method based on combining a constructive and a bounding heuristic to solve
the vertex clique covering problem (CCP), where the aim is to partition the vertices of a …

There are many tools for the analysis of social networks such as the algorithms for
community detection. However, visualization of these networks enables not only to …

In this paper we propose graph descriptors derived from B-matrices, which are built on the
basis of distances between graph vertices. The B-matrices, being invariant under graph …

The aim of the vertex clique covering problem (CCP) is to cover the vertices of a graph with
as few cliques as possible. We analyse the iterated greedy (IG) algorithm for CCP, which …