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dc.contributor.author | López De Maturana, Evangelina |
---|---|
dc.contributor.author | Ye, Yuanqing |
dc.contributor.author | Calle, M. Luz |
dc.contributor.author | Rothman, Nathaniel |
dc.contributor.author | Urrea, Víctor |
dc.contributor.author | Kogevinas, Manolis |
dc.contributor.author | Petrus, Sandra |
dc.contributor.author | Chanock, Stephen J. |
dc.contributor.author | Tardón, Adonina |
dc.contributor.author | García Closas, Montserrat |
dc.contributor.author | González Neira, Anna |
dc.contributor.author | Vellalta, Gemma |
dc.contributor.author | Carrato, Alfredo |
dc.contributor.author | Navarro i Cuartiellas, Arcadi, 1969- |
dc.contributor.author | Lorente-Galdós, Belén, 1981- |
dc.contributor.author | Silverman, Debra T. |
dc.contributor.author | Real, Francisco X. |
dc.contributor.author | Wu, Xifeng |
dc.contributor.author | Malats i Riera, Núria |
dc.date | 2013 |
dc.identifier.citation | De Maturana EL, Ye Y, Calle ML, Rothman N, Urrea V, Kogevinas M et al. Application of multi-SNP approaches Bayesian LASSO and AUC-RF to detect main effects of inflammatory-gene variants associated with bladder cancer risk. PLoS ONE. 2013; 8(12): E83745. DOI 10.1371/journal.pone.0083745 |
dc.identifier.citation | 1932-6203 |
dc.identifier.citation | http://dx.doi.org/10.1371/journal.pone.0083745 |
dc.identifier.uri | http://hdl.handle.net/10230/23607 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | Public Library of Science (PLoS) |
dc.relation | PLoS ONE. 2013; 8(12): E83745 |
dc.relation | info:eu-repo/grantAgreement/ES/3PN/MTM2008-06747 |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/201663 |
dc.rights | © 2013 de Maturana et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Bufeta -- Càncer |
dc.subject | Tabac -- Efectes fisiològics |
dc.title | Application of multi-SNP approaches Bayesian LASSO and AUC-RF to detect main effects of inflammatory-gene variants associated with bladder cancer risk |
dc.type | info:eu-repo/semantics/article |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.description.abstract | |
dc.description.abstract |