Knowledge discovery and interactive data mining in bioinformatics-state-of-the-art, future challenges and research directions
Background The life sciences, biomedicine and health care are increasingly turning into a
data intensive science [2–4]. Particularly in bioinformatics and computational biology we …
data intensive science [2–4]. Particularly in bioinformatics and computational biology we …
Networks for systems biology: conceptual connection of data and function
The purpose of this study is to survey the use of networks and network-based methods in
systems biology. This study starts with an introduction to graph theory and basic measures …
systems biology. This study starts with an introduction to graph theory and basic measures …
A history of graph entropy measures
This survey seeks to describe methods for measuring the entropy of graphs and to
demonstrate the wide applicability of entropy measures. Setting the scene with a review of …
demonstrate the wide applicability of entropy measures. Setting the scene with a review of …
On structure-sensitivity of degree-based topological indices
One of the general requirements for any topological index TI is that similar molecules have
near-lying TI-values, which is referred to as “smoothness”. Curiously, however, smoothness …
near-lying TI-values, which is referred to as “smoothness”. Curiously, however, smoothness …
Entropy and the complexity of graphs revisited
This paper presents a taxonomy and overview of approaches to the measurement of graph
and network complexity. The taxonomy distinguishes between deterministic (eg …
and network complexity. The taxonomy distinguishes between deterministic (eg …
Topological complexity of crystal structures: quantitative approach
S Krivovichev - Acta Crystallographica Section A: Foundations of …, 2012 - journals.iucr.org
The topological complexity of a crystal structure can be quantitatively evaluated using
complexity measures of its quotient graph, which is defined as a projection of a periodic …
complexity measures of its quotient graph, which is defined as a projection of a periodic …
Extremality of degree-based graph entropies
S Cao, M Dehmer, Y Shi - Information Sciences, 2014 - Elsevier
Many graph invariants have been used for the construction of entropy-based measures to
characterize the structure of complex networks. Based on Shannon's entropy, we study …
characterize the structure of complex networks. Based on Shannon's entropy, we study …
A note on distance-based graph entropies
Z Chen, M Dehmer, Y Shi - Entropy, 2014 - mdpi.com
A variety of problems in, eg, discrete mathematics, computer science, information theory,
statistics, chemistry, biology, etc., deal with inferring and characterizing relational structures …
statistics, chemistry, biology, etc., deal with inferring and characterizing relational structures …
Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience
Abstract Machine learning methods provide powerful tools to map physical measurements to
scientific categories. But are such methods suitable for discovering the ground truth about …
scientific categories. But are such methods suitable for discovering the ground truth about …
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 …