Multilayer networks: aspects, implementations, and application in biomedicine

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...

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Main Authors: Zaynab Hammoud, Frank Kramer
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Big Data Analytics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s41044-020-00046-0
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author Zaynab Hammoud
Frank Kramer
author_facet Zaynab Hammoud
Frank Kramer
author_sort Zaynab Hammoud
collection DOAJ
description 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.
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spelling doaj.art-2472bd617aa2495085688e8c5e73d5422022-12-21T20:34:44ZengBMCBig Data Analytics2058-63452020-07-015111810.1186/s41044-020-00046-0Multilayer networks: aspects, implementations, and application in biomedicineZaynab Hammoud0Frank Kramer1IT-Infrastructure for Translational Medical Research, University of AugsburgIT-Infrastructure for Translational Medical Research, University of AugsburgAbstract 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.http://link.springer.com/article/10.1186/s41044-020-00046-0Multilayered graphsGraph theoryNetwork biology
spellingShingle Zaynab Hammoud
Frank Kramer
Multilayer networks: aspects, implementations, and application in biomedicine
Big Data Analytics
Multilayered graphs
Graph theory
Network biology
title Multilayer networks: aspects, implementations, and application in biomedicine
title_full Multilayer networks: aspects, implementations, and application in biomedicine
title_fullStr Multilayer networks: aspects, implementations, and application in biomedicine
title_full_unstemmed Multilayer networks: aspects, implementations, and application in biomedicine
title_short Multilayer networks: aspects, implementations, and application in biomedicine
title_sort multilayer networks aspects implementations and application in biomedicine
topic Multilayered graphs
Graph theory
Network biology
url http://link.springer.com/article/10.1186/s41044-020-00046-0
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AT frankkramer multilayernetworksaspectsimplementationsandapplicationinbiomedicine