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A Bayesian Lasso Genome-Wide Multimarker Approach to Predict Prognosis: An Application to Bladder Cancer Progression

dc.contributor.authorLópez de Maturana, E.
dc.contributor.authorPicornell, A.
dc.contributor.authorMasson Lecomte, A.
dc.contributor.authorTardón García, Adonina 
dc.date.accessioned2017-02-01T07:40:41Z
dc.date.available2017-02-01T07:40:41Z
dc.date.issued2015
dc.identifier.issn0001-5652
dc.identifier.issn1423-0062
dc.identifier.urihttp://hdl.handle.net/10651/39931
dc.descriptionEuropean Mathematical Genetics Meeting (EMGM) (44th. 2015. England)
dc.description.statementofresponsibilityMaturana, E.; Picornell, A.; Masson-Lecomte, A.; Kogevinas, M.; Marquez, M.; Carrato, A.; Tardon, A.; Lloreta, J.; Garcia-Closas, M.; Silverman, D.; Rothman, N.; Chanock, S.; Real, F.; Goddard, M.; Malats, N.
dc.format.extentp. 117-117
dc.language.isoeng
dc.relation.ispartofHuman Heredity, 80(3)
dc.rights©,
dc.sourceWOS:000380140400039
dc.titleA Bayesian Lasso Genome-Wide Multimarker Approach to Predict Prognosis: An Application to Bladder Cancer Progressioneng
dc.typeconference outputspa


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