Application of Multilayer Network Models in Bioinformatics. Lv, Y., Huang, S., Zhang, T., & Gao, B. Frontiers in Genetics, 12:380, 2021. ![Application of Multilayer Network Models in Bioinformatics [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Multilayer networks provide an efficient tool for studying complex systems, and with current, dramatic development of bioinformatics tools and accumulation of data, researchers have applied network concepts to all aspects of research problems in the field of biology. Addressing the combination of multilayer networks and bioinformatics, through summarizing the applications of multilayer network models in bioinformatics, this review classifies applications and presents a summary of the latest results. Among them, we classify the applications of multilayer networks according to the object of study. Furthermore, because of the systemic nature of biology, we classify the subjects into several hierarchical categories, such as cells, tissues, organs, and groups, according to the hierarchical nature of biological composition. On the basis of the complexity of biological systems, we selected brain research for a detailed explanation. We describe the application of multilayer networks and chronological networks in brain research to demonstrate the primary ideas associated with the application of multilayer networks in biological studies. Finally, we mention a quality assessment method focusing on multilayer and single-layer networks as an evaluation method emphasizing network studies.
@article{lv_application_2021,
title = {Application of {Multilayer} {Network} {Models} in {Bioinformatics}},
volume = {12},
issn = {1664-8021},
url = {https://www.frontiersin.org/article/10.3389/fgene.2021.664860},
doi = {10.3389/fgene.2021.664860},
abstract = {Multilayer networks provide an efficient tool for studying complex systems, and with current, dramatic development of bioinformatics tools and accumulation of data, researchers have applied network concepts to all aspects of research problems in the field of biology. Addressing the combination of multilayer networks and bioinformatics, through summarizing the applications of multilayer network models in bioinformatics, this review classifies applications and presents a summary of the latest results. Among them, we classify the applications of multilayer networks according to the object of study. Furthermore, because of the systemic nature of biology, we classify the subjects into several hierarchical categories, such as cells, tissues, organs, and groups, according to the hierarchical nature of biological composition. On the basis of the complexity of biological systems, we selected brain research for a detailed explanation. We describe the application of multilayer networks and chronological networks in brain research to demonstrate the primary ideas associated with the application of multilayer networks in biological studies. Finally, we mention a quality assessment method focusing on multilayer and single-layer networks as an evaluation method emphasizing network studies.},
urldate = {2021-10-14},
journal = {Frontiers in Genetics},
author = {Lv, Yuanyuan and Huang, Shan and Zhang, Tianjiao and Gao, Bo},
year = {2021},
pages = {380},
}
Downloads: 0
{"_id":"Bcy8ZeXTnT5k38rTf","bibbaseid":"lv-huang-zhang-gao-applicationofmultilayernetworkmodelsinbioinformatics-2021","author_short":["Lv, Y.","Huang, S.","Zhang, T.","Gao, B."],"bibdata":{"bibtype":"article","type":"article","title":"Application of Multilayer Network Models in Bioinformatics","volume":"12","issn":"1664-8021","url":"https://www.frontiersin.org/article/10.3389/fgene.2021.664860","doi":"10.3389/fgene.2021.664860","abstract":"Multilayer networks provide an efficient tool for studying complex systems, and with current, dramatic development of bioinformatics tools and accumulation of data, researchers have applied network concepts to all aspects of research problems in the field of biology. Addressing the combination of multilayer networks and bioinformatics, through summarizing the applications of multilayer network models in bioinformatics, this review classifies applications and presents a summary of the latest results. Among them, we classify the applications of multilayer networks according to the object of study. Furthermore, because of the systemic nature of biology, we classify the subjects into several hierarchical categories, such as cells, tissues, organs, and groups, according to the hierarchical nature of biological composition. On the basis of the complexity of biological systems, we selected brain research for a detailed explanation. We describe the application of multilayer networks and chronological networks in brain research to demonstrate the primary ideas associated with the application of multilayer networks in biological studies. Finally, we mention a quality assessment method focusing on multilayer and single-layer networks as an evaluation method emphasizing network studies.","urldate":"2021-10-14","journal":"Frontiers in Genetics","author":[{"propositions":[],"lastnames":["Lv"],"firstnames":["Yuanyuan"],"suffixes":[]},{"propositions":[],"lastnames":["Huang"],"firstnames":["Shan"],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["Tianjiao"],"suffixes":[]},{"propositions":[],"lastnames":["Gao"],"firstnames":["Bo"],"suffixes":[]}],"year":"2021","pages":"380","bibtex":"@article{lv_application_2021,\n\ttitle = {Application of {Multilayer} {Network} {Models} in {Bioinformatics}},\n\tvolume = {12},\n\tissn = {1664-8021},\n\turl = {https://www.frontiersin.org/article/10.3389/fgene.2021.664860},\n\tdoi = {10.3389/fgene.2021.664860},\n\tabstract = {Multilayer networks provide an efficient tool for studying complex systems, and with current, dramatic development of bioinformatics tools and accumulation of data, researchers have applied network concepts to all aspects of research problems in the field of biology. Addressing the combination of multilayer networks and bioinformatics, through summarizing the applications of multilayer network models in bioinformatics, this review classifies applications and presents a summary of the latest results. Among them, we classify the applications of multilayer networks according to the object of study. Furthermore, because of the systemic nature of biology, we classify the subjects into several hierarchical categories, such as cells, tissues, organs, and groups, according to the hierarchical nature of biological composition. On the basis of the complexity of biological systems, we selected brain research for a detailed explanation. We describe the application of multilayer networks and chronological networks in brain research to demonstrate the primary ideas associated with the application of multilayer networks in biological studies. Finally, we mention a quality assessment method focusing on multilayer and single-layer networks as an evaluation method emphasizing network studies.},\n\turldate = {2021-10-14},\n\tjournal = {Frontiers in Genetics},\n\tauthor = {Lv, Yuanyuan and Huang, Shan and Zhang, Tianjiao and Gao, Bo},\n\tyear = {2021},\n\tpages = {380},\n}\n\n","author_short":["Lv, Y.","Huang, S.","Zhang, T.","Gao, B."],"key":"lv_application_2021","id":"lv_application_2021","bibbaseid":"lv-huang-zhang-gao-applicationofmultilayernetworkmodelsinbioinformatics-2021","role":"author","urls":{"Paper":"https://www.frontiersin.org/article/10.3389/fgene.2021.664860"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/mh_lenguyen","dataSources":["XJ7Gu6aiNbAiJAjbw","XvjRDbrMBW2XJY3p9","3C6BKwtiX883bctx4","5THezwiL4FyF8mm4G","RktFJE9cDa98BRLZF","qpxPuYKLChgB7ox6D","SZvSgtLYdBsPSQ3NM","iwKepCrWBps7ojhDx"],"keywords":[],"search_terms":["application","multilayer","network","models","bioinformatics","lv","huang","zhang","gao"],"title":"Application of Multilayer Network Models in Bioinformatics","year":2021}