Combining dissimilarity based classifiers for cancer prediction using gene expression profiles

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3317

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DC Field	Value	Language
dc.creator	Blanco, Ángela	-
dc.creator	Martín-Merino, Manuel	-
dc.creator	De Las Rivas, Javier	-
dc.date	2008-03-26T12:57:21Z	-
dc.date	2008-03-26T12:57:21Z	-
dc.date	2007-11-20	-
dc.date.accessioned	2017-01-31T01:00:57Z	-
dc.date.available	2017-01-31T01:00:57Z	-
dc.identifier	BMC Bioinformatics 8(Suppl 8): S3 (2007)	-
dc.identifier	1471-2105	-
dc.identifier	http://hdl.handle.net/10261/3317	-
dc.identifier	10.1186/1471-2105-8-S8-S3	-
dc.identifier.uri	http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3317	-
dc.description	Presentación oral, parte del suplemento: Highlights from the Third International Society for Computational Biology (ISCB) Student Council Symposium at the Fifteenth Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) Vienna, Austria. 21 July 2007.	-
dc.description	DNA Microarrays allow us to monitor the expression level of thousands of genes simultaneously across a collection of related samples. This technology has been applied to the prediction of cancer considering the gene expression profiles in both, normal and cancer samples.	-
dc.description	Peer reviewed	-
dc.format	186342 bytes	-
dc.format	application/pdf	-
dc.language	eng	-
dc.publisher	BioMed Central	-
dc.relation	Publisher’s version	-
dc.relation	http://www.biomedcentral.com/1471-2105/8/S8/S3	-
dc.rights	openAccess	-
dc.title	Combining dissimilarity based classifiers for cancer prediction using gene expression profiles	-
dc.type	Comunicación de congreso	-
Appears in Collections:	Digital Csic

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