From the modeling of the inmune hallmarks of cancer to a black swan in biology

Autores
Abdelghani, Bellouquid; de Angelis, Elena; Knopoff, Damián Alejandro
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper deals with the modeling of the early stage of cancer phenomena, namely mutations, onset, progression of cancer cells, and
their competition with the immune system. The mathematical approach is based on the kinetic theory of active particles developed to describe the dynamics of large systems of interacting cells, called active particles. Their microscopic state is modeled by a scalar variable which expresses the main biological function. The modeling focuses on an interpretation of the immune-hallmarks of cancer.
Fil: Abdelghani, Bellouquid. Cadi Ayyad University; Marruecos
Fil: de Angelis, Elena. Politecnico Di Torino; Italia
Fil: Knopoff, Damián Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigación y Estudios de Matemática de Córdoba(p); Argentina
Materia
Statistical Dynamics
Active Particles
Stochastic Games
Evolution
Mutations
System Biology
Multicellular Systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/8928
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/8928
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling From the modeling of the inmune hallmarks of cancer to a black swan in biologyAbdelghani, Bellouquidde Angelis, ElenaKnopoff, Damián AlejandroStatistical DynamicsActive ParticlesStochastic GamesEvolutionMutationsSystem BiologyMulticellular Systemshttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1This paper deals with the modeling of the early stage of cancer phenomena, namely mutations, onset, progression of cancer cells, and<br />their competition with the immune system. The mathematical approach is based on the kinetic theory of active particles developed to describe the dynamics of large systems of interacting cells, called active particles. Their microscopic state is modeled by a scalar variable which expresses the main biological function. The modeling focuses on an interpretation of the immune-hallmarks of cancer.Fil: Abdelghani, Bellouquid. Cadi Ayyad University; MarruecosFil: de Angelis, Elena. Politecnico Di Torino; ItaliaFil: Knopoff, Damián Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigación y Estudios de Matemática de Córdoba(p); ArgentinaWorld Scientific2013-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8928Abdelghani, Bellouquid; de Angelis, Elena; Knopoff, Damián Alejandro; From the modeling of the inmune hallmarks of cancer to a black swan in biology; World Scientific; Mathematical Models And Methods In Applied Sciences; 23; 5; 3-2013; 949-9780218-2025enginfo:eu-repo/semantics/altIdentifier/doi/10.1142/S0218202512500650info:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0218202512500650info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T09:35:34Zoai:ri.conicet.gov.ar:11336/8928instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 09:35:34.526CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv From the modeling of the inmune hallmarks of cancer to a black swan in biology
title From the modeling of the inmune hallmarks of cancer to a black swan in biology
spellingShingle From the modeling of the inmune hallmarks of cancer to a black swan in biology
Abdelghani, Bellouquid
Statistical Dynamics
Active Particles
Stochastic Games
Evolution
Mutations
System Biology
Multicellular Systems
title_short From the modeling of the inmune hallmarks of cancer to a black swan in biology
title_full From the modeling of the inmune hallmarks of cancer to a black swan in biology
title_fullStr From the modeling of the inmune hallmarks of cancer to a black swan in biology
title_full_unstemmed From the modeling of the inmune hallmarks of cancer to a black swan in biology
title_sort From the modeling of the inmune hallmarks of cancer to a black swan in biology
dc.creator.none.fl_str_mv Abdelghani, Bellouquid
de Angelis, Elena
Knopoff, Damián Alejandro
author Abdelghani, Bellouquid
author_facet Abdelghani, Bellouquid
de Angelis, Elena
Knopoff, Damián Alejandro
author_role author
author2 de Angelis, Elena
Knopoff, Damián Alejandro
author2_role author
author
dc.subject.none.fl_str_mv Statistical Dynamics
Active Particles
Stochastic Games
Evolution
Mutations
System Biology
Multicellular Systems
topic Statistical Dynamics
Active Particles
Stochastic Games
Evolution
Mutations
System Biology
Multicellular Systems
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This paper deals with the modeling of the early stage of cancer phenomena, namely mutations, onset, progression of cancer cells, and<br />their competition with the immune system. The mathematical approach is based on the kinetic theory of active particles developed to describe the dynamics of large systems of interacting cells, called active particles. Their microscopic state is modeled by a scalar variable which expresses the main biological function. The modeling focuses on an interpretation of the immune-hallmarks of cancer.
Fil: Abdelghani, Bellouquid. Cadi Ayyad University; Marruecos
Fil: de Angelis, Elena. Politecnico Di Torino; Italia
Fil: Knopoff, Damián Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigación y Estudios de Matemática de Córdoba(p); Argentina
description This paper deals with the modeling of the early stage of cancer phenomena, namely mutations, onset, progression of cancer cells, and<br />their competition with the immune system. The mathematical approach is based on the kinetic theory of active particles developed to describe the dynamics of large systems of interacting cells, called active particles. Their microscopic state is modeled by a scalar variable which expresses the main biological function. The modeling focuses on an interpretation of the immune-hallmarks of cancer.
publishDate 2013
dc.date.none.fl_str_mv 2013-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/8928
Abdelghani, Bellouquid; de Angelis, Elena; Knopoff, Damián Alejandro; From the modeling of the inmune hallmarks of cancer to a black swan in biology; World Scientific; Mathematical Models And Methods In Applied Sciences; 23; 5; 3-2013; 949-978
0218-2025
url http://hdl.handle.net/11336/8928
identifier_str_mv Abdelghani, Bellouquid; de Angelis, Elena; Knopoff, Damián Alejandro; From the modeling of the inmune hallmarks of cancer to a black swan in biology; World Scientific; Mathematical Models And Methods In Applied Sciences; 23; 5; 3-2013; 949-978
0218-2025
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1142/S0218202512500650
info:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0218202512500650
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv World Scientific
publisher.none.fl_str_mv World Scientific
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1847976784796057600
score 13.082534

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