20.500.12556/RUL-133358 Complex network characterization using graph theory and fractal geometry the case study of lung cancer DNA sequences 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. DNA geometry network fractal bioengineering DNA geometry complex networks fractal dimension topological properties DNK geometrija omrežje fraktal bioinženiring true false true Angleški jezik Slovenski jezik Članek v reviji 2021-11-24 08:16:03 2021-11-24 08:16:04 2022-09-12 04:15:58 0000-00-00 00:00:00 2020 0 0 16 str. iss. 9, art. 3037 Vol. 10 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 519.17:616-006 2076-3417 10.3390/app10093037 12929539 RAZ_Babic_Matej_2020.pdf RAZ_Babic_Matej_2020.pdf 1 EC612665DE920D7FB059C4AB55157B64 07d375cbd10c4b8d42b6aa3c57e2003225578ada435d8ab1d8f0a76a7bb59f13 c4ae4f7b-4cf9-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151370 https://www.mdpi.com/2076-3417/10/9/3037 1 4ddcf6bb-4cf6-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151368 Fakulteta za računalništvo in informatiko 0 0 0