@article{hammoud_multilayer_2020,
	title = {Multilayer networks: aspects, implementations, and application in biomedicine},
	volume = {5},
	issn = {2058-6345},
	shorttitle = {Multilayer networks},
	url = {https://doi.org/10.1186/s41044-020-00046-0},
	doi = {10.1186/s41044-020-00046-0},
	abstract = {Modeling and analyses of complex systems using network theory have been an object of study for a long time. They have caught attention in many disciplines such as sociology, epidemiology, ecology, psychology, biology, biomedicine, and other fields. Network theory is especially an efficient tool to model biological networks such as gene co-expression networks, protein-protein interaction networks, or pathways. Considering the enhanced resolutions of complex real-world systems, the interest has been directed to multilayered networks. However, despite this surge of recent attention, the use of the multilayer framework in the biological field is still in its youth. In this paper, we review the different aspects and terminologies of multilayered networks. We also briefly discuss the variant applications of the multilayer framework, and finally, we give an overview of various existing applications of the multilayer model in network biology.},
	number = {1},
	urldate = {2021-10-14},
	journal = {Big Data Analytics},
	author = {Hammoud, Zaynab and Kramer, Frank},
	month = jul,
	year = {2020},
	keywords = {Graph theory, Multilayered graphs, Network biology},
	pages = {2},
}

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