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dc.contributor.authorDe Paz , Juan F.
dc.contributor.authorZato Domínguez, Davinia Carolina 
dc.contributor.authorPrieta Pintado, Fernando de la 
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.contributor.authorHernández Rivas, Jesús María 
dc.date.accessioned2017-09-06T09:13:56Z
dc.date.available2017-09-06T09:13:56Z
dc.date.issued2013
dc.identifier.citationIntelligent Informatics Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing. Volumen 182, pp. 175-181.
dc.identifier.isbn978-3-642-32062-0 (Print) / 978-3-642-32063-7(Online)
dc.identifier.issn2194-5357 (Print) / 2194-5365 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134823
dc.description.abstractThe detection of the regions with mutations associated with different pathologies is an important step for selecting relevant genes. The corresponding information of the mutations and genes is distributed in different public sources and databases, so it is necessary to use systems that can contrast different sources and select conspicuous information. This work proposes a virtual organization of agents that can analyze and interpret the results from Array-based comparative genomic hybridization, thus facilitating the traditionally manual process of the analysis and interpretation of results.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleComparative Genomics with Multi-agent Systems
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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