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Integrative Multidimensional Methods applied to Molecular Classification in Muscle Invasive Bladder Cancer

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dc.contributor Universitat de Vic - Universitat Central de Catalunya. Facultat de Ciències i Tecnologia
dc.contributor Universitat de Vic - Universitat Central de Catalunya. Màster Universitari en Anàlisi de Dades Òmiques
dc.contributor.author Gonzalez Alvaredo, Sonia
dc.date.accessioned 2018-02-07T16:40:52Z
dc.date.available 2018-02-07T16:40:52Z
dc.date.created 2017-09-18
dc.date.issued 2017-09-18
dc.identifier.uri http://hdl.handle.net/10854/5316
dc.description Curs 2016-2017
dc.description.abstract To move toward a molecular taxonomy, we investigated three genome-wide platform data, integrated as an unified categorical code called gene configuration. We performed a multidimensional analysis of the gene configuration on known protein coding genes for 218 patients of muscle invasive bladder cancer, revealing a unified classification into three major subtypes. The classification obtained allow us to describe heterogeneous groups among different ethnic origins. This classification follow mechanistic differences for the different pathways involved in the bladder cancer profiling. A feature selection method based in multiple correspondence analysis allowed to mine the determinant gene configurations involved in the molecular profiling of muscle invasive bladder cancer. es
dc.format application/pdf
dc.format.extent 87 p. es
dc.language.iso eng es
dc.rights Tots els drets reservats es
dc.subject.other Bufeta -- Càncer es
dc.subject.other Molècules -- Classificació es
dc.title Integrative Multidimensional Methods applied to Molecular Classification in Muscle Invasive Bladder Cancer es
dc.type info:eu-repo/semantics/masterThesis es
dc.description.version Director/a: Enrique Carrillo de Santa Pau Co-director/a: Francisco Real
dc.rights.accesRights info:eu-repo/semantics/openAccess es

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