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dc.contributor.authorZato Domínguez, Davinia Carolina 
dc.contributor.authorDe Paz, Juan F. 
dc.contributor.authorPrieta Pintado, Fernando de la 
dc.contributor.authorMartín, Beatriz
dc.date.accessioned2017-09-06T09:14:33Z
dc.date.available2017-09-06T09:14:33Z
dc.date.issued2011-06
dc.identifier.citationSupporting system for detecting pathologies. Advances in Computational Intelligence. 11th International Work-Conference on Artificial Neural Networks, IWANN 2011. Volumen 6692 (2), pp. 669-676.
dc.identifier.isbn978-3-642-21497-4(Print) / 978-3-642-21498-1(Online)
dc.identifier.issn0302-9743(Print)/ 1611-3349(Online)
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-21498-1_84
dc.identifier.urihttp://hdl.handle.net/10366/134888
dc.description.abstractArrays CGH make possible the realization of tests on patients for the detection of mutations in chromosomal regions. Detecting these mutations allows to carry out diagnoses and to complete studies of sequencing in relevant regions of the DNA. The analysis process of arrays CGH requires the use of mechanisms that facilitate the data processing by specialized personnel since traditionally, a segmentation process is needed and starting from the segmented data, a visual analysis of the information is carried out for the selection of relevant segments. In this study a CBR system is presented as a supporting system for the extraction of relevant information in arrays CGH that facilitates the process of analysis and its interpretation.
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.titleSupporting System for Detecting Pathologies
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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