Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Vilor Tejedor, Natàlia, 1988-
- dc.contributor.author Garrido Martín, Diego, 1992-
- dc.contributor.author Rodríguez-Fernández, Blanca
- dc.contributor.author Lamballais, Sander
- dc.contributor.author Guigó Serra, Roderic
- dc.contributor.author Gispert López, Juan Domingo
- dc.date.accessioned 2021-12-09T07:01:42Z
- dc.date.available 2021-12-09T07:01:42Z
- dc.date.issued 2021
- dc.description.abstract Imaging genetic studies aim to test how genetic information influences brain structure and function by combining neuroimaging-based brain features and genetic data from the same individual. Most studies focus on individual correlation and association tests between genetic variants and a single measurement of the brain. Despite the great success of univariate approaches, given the capacity of neuroimaging methods to provide a multiplicity of cerebral phenotypes, the development and application of multivariate methods become crucial. In this article, we review novel methods and strategies focused on the analysis of multiple phenotypes and genetic data. We also discuss relevant aspects of multi-trait modelling in the context of neuroimaging data.
- dc.format.mimetype application/pdf
- dc.identifier.citation Vilor-Tejedor N, Garrido-Martín D, Rodriguez-Fernandez B, Lamballais S, Guigó R, Gispert JD. Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO! Comput Struct Biotechnol J. 2021;19:5800-10. DOI: 10.1016/j.csbj.2021.10.019
- dc.identifier.doi http://dx.doi.org/10.1016/j.csbj.2021.10.019
- dc.identifier.issn 2001-0370
- dc.identifier.uri http://hdl.handle.net/10230/49155
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Comput Struct Biotechnol J. 2021;19:5800-10
- dc.rights © 2021 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
- dc.subject.keyword Genetics
- dc.subject.keyword Image-derived phenotype
- dc.subject.keyword Imaging genetics
- dc.subject.keyword Multiple phenotypes
- dc.subject.keyword Multivariate modelling
- dc.subject.keyword Neuroimaging
- dc.title Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion