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

dc.contributor.author	López de Maturana, E.
dc.contributor.author	Picornell, A.
dc.contributor.author	Masson Lecomte, A.
dc.contributor.author	Tardón García, Adonina
dc.date.accessioned	2017-02-01T07:40:41Z
dc.date.available	2017-02-01T07:40:41Z
dc.date.issued	2015
dc.identifier.issn	0001-5652
dc.identifier.issn	1423-0062
dc.identifier.uri	http://hdl.handle.net/10651/39931
dc.description	European Mathematical Genetics Meeting (EMGM) (44th. 2015. England)
dc.description.statementofresponsibility	Maturana, 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.extent	p. 117-117
dc.language.iso	eng
dc.relation.ispartof	Human Heredity, 80(3)
dc.rights	©,
dc.source	WOS:000380140400039
dc.title	A Bayesian Lasso Genome-Wide Multimarker Approach to Predict Prognosis: An Application to Bladder Cancer Progression	eng
dc.type	conference output	spa

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