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dc.contributor.authorMuñoz, Marta
dc.contributor.authorManuel Rodríguez García, Manuel
dc.contributor.authorRodríguez, M. Encarnación
dc.contributor.authorRodríguez González, Sara 
dc.date.accessioned2017-09-06T09:14:13Z
dc.date.available2017-09-06T09:14:13Z
dc.date.issued2012
dc.identifier.citationDistributed Computing and Artificial Intelligence Advances in Intelligent and Soft Computing. 9th International Conference. Advances in Intelligent and Soft Computing. Volumen 151, pp. 411-419.
dc.identifier.isbn978-3-642-28764-0 (Print) / 978-3-642-28765-7 (Online)
dc.identifier.issn1867-5662 (Print) / 1867-5670 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134854
dc.description.abstractThe etiology of skeletal class III malocclusion is multifactorial, complex and likely results from mutations in numerous genes. In this study, we sought to understand genotype correlation of the class III dentofacial deformity in rural and urban spanish population of more than one generation. The genetic analyze was made using a Genome-wide scan. It will hold a novel classification using Artificial Intelligence techniques highlighting the difference between the two groups at the level of polymorphism. Our phenotypic and genetic analysis highlights that each group is unique.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.subjectComputer Science
dc.titleGenetic Evaluation of the Class III Dentofacial in Rural and Urban Spanish Population by AI Techniques
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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