Applying CBR Systems to Micro Array Data Classification

Rodríguez González, Sara; De Paz , Juan F.; Bajo Pérez, Javier; Corchado Rodríguez, Juan Manuel

Título

dc.contributor.author	Rodríguez González, Sara
dc.contributor.author	De Paz , Juan F.
dc.contributor.author	Bajo Pérez, Javier
dc.contributor.author	Corchado Rodríguez, Juan Manuel
dc.date.accessioned	2017-09-06T09:15:29Z
dc.date.available	2017-09-06T09:15:29Z
dc.date.issued	2009
dc.identifier.citation	2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008) Advances in Soft Computing. Advances in Soft Computing. Volumen 49, pp. 102-111.
dc.identifier.isbn	978-3-540-85860-7 (Print) / 978-3-540-85861-4 (Online)
dc.identifier.issn	1615-3871 (Print) / 1860-0794 (Online)
dc.identifier.uri	http://hdl.handle.net/10366/134989
dc.description.abstract	Microarray technology allows to measureing the expression levels of thousands of genes in an experiment. This technology required requires computational solutions capable of dealing with great amounts of data and as well as techniques to explore the data and extract knowledge which allow patients classification. This paper presents a systems based on Case-based reasoning (CBR) for automatic classification of leukemia patients from microarray data. The system incorporates novel algorithms for data mining that allow to filter and classify as well as extraction of knowledge. The system has been tested and the results obtained are presented in this paper.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Applying CBR Systems to Micro Array Data Classification
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.hasVersion	info:eu-repo/semantics/acceptedVersion