Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks
F Emmert-Streib, M Dehmer… - Frontiers in cell and …, 2014 - frontiersin.org
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 - MATCH Communications in …, 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
F Emmert-Streib, M Dehmer, Y Shi - Information sciences, 2016 - Elsevier
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 …
[图书][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
M Dehmer, F Emmert-Streib, Y Shi - Information Sciences, 2017 - Elsevier
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
M Dehmer, F Emmert-Streib, Y Shi - PloS one, 2014 - journals.plos.org
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 …
Hosoya entropy of fullerene graphs
M Ghorbani, M Dehmer, M Rajabi-Parsa… - Applied Mathematics …, 2019 - Elsevier
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 …
Graph operations based on using distance-based graph entropies
M Ghorbani, M Dehmer, S Zangi - Applied Mathematics and Computation, 2018 - Elsevier
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 …
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 …
Integrative network biology: graph prototyping for co-expression cancer networks
Network-based analysis has been proven useful in biologically-oriented areas, eg, to
explore the dynamics and complexity of biological networks. Investigating a set of networks …
explore the dynamics and complexity of biological networks. Investigating a set of networks …