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Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks
In recent years gene regulatory networks (GRNs) have attracted a lot of interest and many
methods have been introduced for their statistical inference from gene expression data …
methods have been introduced for their statistical inference from gene expression data …
From the connectivity index to various Randić-type descriptors
Y Ma, Y Shi, I Gutman, B Furtula - 2018 - scidar.kg.ac.rs
The Randić index was proposed by Randić in 1975 and has been widely studied in different
areas. We briefly review the Randić index and various Randić-type descriptors from 1975 to …
areas. We briefly review the Randić index and various Randić-type descriptors from 1975 to …
Fifty years of graph matching, network alignment and network comparison
In this paper we survey methods for performing a comparative graph analysis and explain
the history, foundations and differences of such techniques of the last 50 years. While …
the history, foundations and differences of such techniques of the last 50 years. While …
[BOG][B] Quantitative graph theory
Graph theory [12, 83, 86] is a relatively new branch of mathematics and the main body of
fundamental results dates back to the seminal contribution due to König [111]. Earlier …
fundamental results dates back to the seminal contribution due to König [111]. Earlier …
Quantitative graph theory: a new branch of graph theory and network science
In this paper, we describe some highlights of the new branch quantitative graph theory and
explain its significant different features compared to classical graph theory. The main goal of …
explain its significant different features compared to classical graph theory. The main goal of …
Interrelations of graph distance measures based on topological indices
In this paper, we derive interrelations of graph distance measures by means of inequalities.
For this investigation we are using graph distance measures based on topological indices …
For this investigation we are using graph distance measures based on topological indices …
Graph operations based on using distance-based graph entropies
Let G be a connected graph. The eccentricity of vertex v is the maximum distance between v
and other vertices of G. In this paper, we study a new version of graph entropy based on …
and other vertices of G. In this paper, we study a new version of graph entropy based on …
Graph distance measures based on topological indices revisited
Graph distance measures based on topological indices have been already explored by
Dehmer et al. Also, inequalities for those graph distance measures have been proved. In this …
Dehmer et al. Also, inequalities for those graph distance measures have been proved. In this …
Hosoya entropy of fullerene graphs
Entropy-based methods are useful tools for investigating various problems in mathematical
chemistry, computational physics and pattern recognition. In this paper we introduce a …
chemistry, computational physics and pattern recognition. In this paper we introduce a …
Information-theoretic concepts for the analysis of complex networks
M Dehmer - Applied Artificial Intelligence, 2008 - Taylor & Francis
In this article, we present information-theoretic concepts for analyzing complex networks. We
see that the application of information-theoretic concepts to networks leads to interesting …
see that the application of information-theoretic concepts to networks leads to interesting …