A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks

  1. Sánchez Lasheras, J.E.
  2. González Donquiles, C.
  3. García Nieto, P.J.
  4. Jiménez Moleon, J.J.
  5. Salas, D.
  6. Suárez Gómez, S.L.
  7. de la Torre, A.J.M.
  8. González-Nuevo, J.
  9. Bonavera, L.
  10. Carballido Landeira, J.
  11. de Cos Juez, F.J.
Journal:
Neural Computing and Applications

ISSN: 1433-3058 0941-0643

Year of publication: 2020

Volume: 32

Issue: 5

Pages: 1231-1238

Type: Article

DOI: 10.1007/S00521-018-3503-4 GOOGLE SCHOLAR