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Improvements in resampling techniques for phenotype prediction: Applications to neurodegenerative diseases

dc.contributor.authorBeltrán Vargas, Juan Carlos
dc.contributor.authorAndrés Galiana, Enrique Juan de 
dc.contributor.authorCernea Corbeanu, Ana 
dc.contributor.authorFernández Martínez, Juan Luis 
dc.date.accessioned2018-02-06T10:10:32Z
dc.date.available2018-02-06T10:10:32Z
dc.date.issued2017
dc.identifier.isbn9783319496306
dc.identifier.issn2199-3041
dc.identifier.urihttp://hdl.handle.net/10651/45163
dc.descriptionJacques-Louis Lions Spanish-French School on Computational Mathematics, Numerical Analysis and Applications (17th. 2016. Gijón)
dc.format.extentp. 245-248
dc.language.isoeng
dc.relation.ispartofComputational Mathematics, Numerical Analysis and Applications
dc.relation.ispartofseriesSEMA SIMAI Springer Series, 13
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85031811606&doi=10.1007%2f978-3-319-49631-3_14&partnerID=40&md5=bf5a1bce995ed816340b2e0ccc74c4c6
dc.titleImprovements in resampling techniques for phenotype prediction: Applications to neurodegenerative diseases
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1007/978-3-319-49631-3_14
dc.type.dcmitext
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-319-49631-3_14


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