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A Model of Antibiotic Resistance Evolution Dynamics Through P Systems with Active Membranes and Communication Rules

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A Model of Antibiotic Resistance Evolution Dynamics Through P Systems with Active Membranes and Communication Rules

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dc.contributor.author Baquero, Fernando es_ES
dc.contributor.author Campos Frances, Marcelino es_ES
dc.contributor.author Llorens, Carlos es_ES
dc.contributor.author Sempere Luna, José María es_ES
dc.date.accessioned 2019-08-02T20:00:30Z
dc.date.available 2019-08-02T20:00:30Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/124694
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Lecture Notes in Computer Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title A Model of Antibiotic Resistance Evolution Dynamics Through P Systems with Active Membranes and Communication Rules es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/978-3-030-00265-7_3 es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2019-09-15 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Baquero, F.; Campos Frances, M.; Llorens, C.; Sempere Luna, JM. (2018). A Model of Antibiotic Resistance Evolution Dynamics Through P Systems with Active Membranes and Communication Rules. Lecture Notes in Computer Science. 11270:33-44. https://doi.org/10.1007/978-3-030-00265-7_3 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-00265-7_3 es_ES
dc.description.upvformatpinicio 33 es_ES
dc.description.upvformatpfin 44 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11270 es_ES
dc.relation.pasarela S\372868 es_ES
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dc.description.references Besozzi, D., Cazzaniga, P., Cocolo, S., Mauri, G., Pescini, D.: Modeling diffusion in a signal transduction pathway: the use of virtual volumes in P systems. Int. J. Found. Comput. Sci. 22(1), 89–96 (2011) es_ES
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dc.description.references Colomer, M.A., Margalida, A., Sanuy, D., Pérez-Jiménez, M.J.: A bio-inspired model as a new tool for modeling ecosystems: the avian scavengeras a case study. Ecol. Model. 222(1), 33–47 (2011) es_ES
dc.description.references Colomer, M.A., Martínez-del-Amor, M.A., Pérez-Hurtado, I., Pérez-Jiménez, M.J., Riscos-Núñez, A.: A uniform framework for modeling based on P systems. In: Li, K., Nagar, A.K., Thamburaj, R. (eds.) IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2010), vol. 1, pp. 616–621 (2010) es_ES
dc.description.references Dassow, J., Păun, Gh.: On the power of membrane computing. TUCS Technical Report No. 217 (1998) es_ES
dc.description.references Frisco, P., Gheorghe, M., Pérez-Jiménez, M.J. (eds.): Applications of Membrane Computing in Systems and Synthetic Biology. ECC, vol. 7. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-03191-0 es_ES
dc.description.references Păun, Gh.: Computing with membranes. J. Comput. Syst. Sci. 61(1), 108–143 (2000) es_ES
dc.description.references Păun, Gh.: Membrane Computing: An Introduction. Springer, Heidelberg (2002). https://doi.org/10.1007/978-3-642-56196-2 es_ES
dc.description.references Păun, Gh., Rozenberg, G., Salomaa, A. (eds.): The Oxford Handbook of Membrane Computing. Oxford University Press, Oxford (2010) es_ES
dc.description.references World Health Organization: Antimicrobial Resistance: Global Report on Surveillance (2014) es_ES


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