A computational model for cancer growth by using complex networks
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFBA |
Texto Completo: | http://www.repositorio.ufba.br/ri/handle/ri/6074 |
Resumo: | Acesso restrito: Texto completo. p. 5279-5286. |
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Galvão, VivianeMiranda, José Garcia VivasGalvão, VivianeMiranda, José Garcia Vivas2012-06-04T19:56:22Z20080378-4371http://www.repositorio.ufba.br/ri/handle/ri/6074v. 387, n. 21Acesso restrito: Texto completo. p. 5279-5286.In this work we propose a computational model to investigate the proliferation of cancerous cell by using complex networks. In our model the network represents the structure of available space in the cancer propagation. The computational scheme considers a cancerous cell randomly included in the complex network. When the system evolves the cells can assume three states: proliferative, non-proliferative, and necrotic. Our results were compared with experimental data obtained from three human lung carcinoma cell lines. The computational simulations show that the cancerous cells have a Gompertzian growth. Also, our model simulates the formation of necrosis, increase of density, and resources diffusion to regions of lower nutrient concentration. We obtain that the cancer growth is very similar in random and small-world networks. On the other hand, the topological structure of the small-world network is more affected. The scale-free network has the largest rates of cancer growth due to hub formation. Finally, our results indicate that for different average degrees the rate of cancer growth is related to the available space in the network.Submitted by JURANDI DE SOUZA SILVA (jssufba@hotmail.com) on 2012-06-04T19:56:22Z No. of bitstreams: 1 __ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdf: 340958 bytes, checksum: e26b608081ca30cab84b8224295cd0d5 (MD5)Made available in DSpace on 2012-06-04T19:56:22Z (GMT). No. of bitstreams: 1 __ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdf: 340958 bytes, checksum: e26b608081ca30cab84b8224295cd0d5 (MD5) Previous issue date: 2008http://dx.doi.org/10.1016/j.physa.2008.05.010reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAMathematical modelingCancer developmentCellular proliferationA computational model for cancer growth by using complex networksPhysica A: Statistical Mechanics and its Applicationsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10000-01-01enginfo:eu-repo/semantics/openAccessORIGINAL__ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdf__ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdfapplication/pdf340958https://repositorio.ufba.br/bitstream/ri/6074/1/__ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdfe26b608081ca30cab84b8224295cd0d5MD51LICENSElicense.txtlicense.txttext/plain1762https://repositorio.ufba.br/bitstream/ri/6074/2/license.txt1b89a9a0548218172d7c829f87a0eab9MD52TEXT__ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdf.txt__ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdf.txtExtracted texttext/plain31855https://repositorio.ufba.br/bitstream/ri/6074/3/__ac.els-cdn.com_S037843...a05dbe7abe8304606a7700aa621c5.pdf.txtd0be10250c80d2e692c78345892c9c3dMD53ri/60742022-07-05 14:03:48.36oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-07-05T17:03:48Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
A computational model for cancer growth by using complex networks |
dc.title.alternative.pt_BR.fl_str_mv |
Physica A: Statistical Mechanics and its Applications |
title |
A computational model for cancer growth by using complex networks |
spellingShingle |
A computational model for cancer growth by using complex networks Galvão, Viviane Mathematical modeling Cancer development Cellular proliferation |
title_short |
A computational model for cancer growth by using complex networks |
title_full |
A computational model for cancer growth by using complex networks |
title_fullStr |
A computational model for cancer growth by using complex networks |
title_full_unstemmed |
A computational model for cancer growth by using complex networks |
title_sort |
A computational model for cancer growth by using complex networks |
author |
Galvão, Viviane |
author_facet |
Galvão, Viviane Miranda, José Garcia Vivas |
author_role |
author |
author2 |
Miranda, José Garcia Vivas |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Galvão, Viviane Miranda, José Garcia Vivas Galvão, Viviane Miranda, José Garcia Vivas |
dc.subject.por.fl_str_mv |
Mathematical modeling Cancer development Cellular proliferation |
topic |
Mathematical modeling Cancer development Cellular proliferation |
description |
Acesso restrito: Texto completo. p. 5279-5286. |
publishDate |
2008 |
dc.date.issued.fl_str_mv |
2008 |
dc.date.accessioned.fl_str_mv |
2012-06-04T19:56:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufba.br/ri/handle/ri/6074 |
dc.identifier.issn.none.fl_str_mv |
0378-4371 |
dc.identifier.number.pt_BR.fl_str_mv |
v. 387, n. 21 |
identifier_str_mv |
0378-4371 v. 387, n. 21 |
url |
http://www.repositorio.ufba.br/ri/handle/ri/6074 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.source.pt_BR.fl_str_mv |
http://dx.doi.org/10.1016/j.physa.2008.05.010 |
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reponame:Repositório Institucional da UFBA instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
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UFBA |
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