A propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.

Regardless of all efforts on community discovery algorithms, it is still an open and challenging subject in network science. Recognizing communities in a multilayer network, where there are several layers (types) of connections, is even more complicated. Here, we concentrated on a specific type of c...

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Autores principales:	Ehsan Pournoor, Zaynab Mousavian, Abbas Nowzari-Dalini, Ali Masoudi-Nejad
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f98fe52ec6a34df48c158c2ffc8ee0fe
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id	oai:doaj.org-article:f98fe52ec6a34df48c158c2ffc8ee0fe
record_format	dspace
spelling	oai:doaj.org-article:f98fe52ec6a34df48c158c2ffc8ee0fe2021-12-02T20:15:06ZA propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.1932-620310.1371/journal.pone.0255718https://doaj.org/article/f98fe52ec6a34df48c158c2ffc8ee0fe2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255718https://doaj.org/toc/1932-6203Regardless of all efforts on community discovery algorithms, it is still an open and challenging subject in network science. Recognizing communities in a multilayer network, where there are several layers (types) of connections, is even more complicated. Here, we concentrated on a specific type of communities called seed-centric local communities in the multilayer environment and developed a novel method based on the information cascade concept, called PLCDM. Our simulations on three datasets (real and artificial) signify that the suggested method outstrips two known earlier seed-centric local methods. Additionally, we compared it with other global multilayer and single-layer methods. Eventually, we applied our method on a biological two-layer network of Colon Adenocarcinoma (COAD), reconstructed from transcriptomic and post-transcriptomic datasets, and assessed the output modules. The functional enrichment consequences infer that the modules of interest hold biomolecules involved in the pathways associated with the carcinogenesis.Ehsan PournoorZaynab MousavianAbbas Nowzari-DaliniAli Masoudi-NejadPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0255718 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ehsan Pournoor Zaynab Mousavian Abbas Nowzari-Dalini Ali Masoudi-Nejad A propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.
description	Regardless of all efforts on community discovery algorithms, it is still an open and challenging subject in network science. Recognizing communities in a multilayer network, where there are several layers (types) of connections, is even more complicated. Here, we concentrated on a specific type of communities called seed-centric local communities in the multilayer environment and developed a novel method based on the information cascade concept, called PLCDM. Our simulations on three datasets (real and artificial) signify that the suggested method outstrips two known earlier seed-centric local methods. Additionally, we compared it with other global multilayer and single-layer methods. Eventually, we applied our method on a biological two-layer network of Colon Adenocarcinoma (COAD), reconstructed from transcriptomic and post-transcriptomic datasets, and assessed the output modules. The functional enrichment consequences infer that the modules of interest hold biomolecules involved in the pathways associated with the carcinogenesis.
format	article
author	Ehsan Pournoor Zaynab Mousavian Abbas Nowzari-Dalini Ali Masoudi-Nejad
author_facet	Ehsan Pournoor Zaynab Mousavian Abbas Nowzari-Dalini Ali Masoudi-Nejad
author_sort	Ehsan Pournoor
title	A propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.
title_short	A propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.
title_full	A propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.
title_fullStr	A propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.
title_full_unstemmed	A propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.
title_sort	propagation-based seed-centric local community detection for multilayer environment: the case study of colon adenocarcinoma.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/f98fe52ec6a34df48c158c2ffc8ee0fe
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A propagation-based seed-centric local community detection for multilayer environment: The case study of colon adenocarcinoma.

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