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Combining dissimilarity based classifiers for cancer prediction using gene expression profiles

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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


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