Application of multi-SNP approaches Bayesian LASSO and AUC-RF to detect main effects of inflammatory-gene variants associated with bladder cancer risk

  1. De Maturana, E.L.
  2. Ye, Y.
  3. Calle, M.L.
  4. Rothman, N.
  5. Urrea, V.
  6. Kogevinas, M.
  7. Petrus, S.
  8. Chanock, S.J.
  9. Tardón, A.
  10. García-Closas, M.
  11. González-Neira, A.
  12. Vellalta, G.
  13. Carrato, A.
  14. Navarro, A.
  15. Lorente-Galdós, B.
  16. Silverman, D.T.
  17. Real, F.X.
  18. Wu, X.
  19. Malats, N.
Journal:
PLoS ONE

ISSN: 1932-6203

Year of publication: 2013

Volume: 8

Issue: 12

Type: Article

DOI: 10.1371/JOURNAL.PONE.0083745 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/10651/25237
RUO. Repositorio Institucional de la Universidad de Oviedo: lock_openOpen access Handle

Sustainable development goals

Data source: Scopus