Complex network characterization using graph theory and fractal geometry : the case study of lung cancer DNA sequences

Babič, Matej (avtor), Mihelič, Jurij (avtor), Calì, Michele (avtor)

This paper discusses an approach developed for exploiting the local elementary movements of evolution to study complex networks in terms of shared common embedding and, consequently, shared fractal properties. This approach can be useful for the analysis of lung cancer DNA sequences and their properties by using the concepts of graph theory and fractal geometry. The proposed method advances a renewed consideration of network complexity both on local and global scales. Several researchers have illustrated the advantages of fractal mathematics, as well as its applicability to lung cancer research. Nevertheless, many researchers and clinicians continue to be unaware of its potential. Therefore, this paper aims to examine the underlying assumptions of fractals and analyze the fractal dimension and related measurements for possible application to complex networks and, especially, to the lung cancer network. The strict relationship between the lung cancer network properties and the fractal dimension is proved. Results show that the fractal dimension decreases in the lung cancer network while the topological properties of the network increase in the lung cancer network. Finally, statistical and topological significance between the complexity of the network and lung cancer network is shown.

• Jezik: Angleški jezik
• Ključne besede: DNA, geometry, network, fractal, bioengineering, DNA geometry, complex networks, fractal dimension, topological properties
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2020
• Št. strani: 16 str.
• Številčenje: Vol. 10, iss. 9, art. 3037
• PID: 20.500.12556/RUL-133358
• UDK: 519.17:616-006
• ISSN pri članku: 2076-3417
• DOI: 10.3390/app10093037
• COBISS.SI-ID: 12929539
• Datum objave v RUL: 24.11.2021

Gradivo je del revije

• Naslov: Applied sciences
• Skrajšan naslov: Appl. sci.
• Založnik: MDPI
• ISSN: 2076-3417
• COBISS.SI-ID: 522979353

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 01.05.2020

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: DNK, geometrija, omrežje, fraktal, bioinženiring

Projekti

• Financer: Drugi - Drug financer ali več financerjev
• Program financ.: Fund for the athenaeum research in Catania, research programme 2019/2021