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.
Revue:
Neural Computing and Applications

ISSN: 1433-3058 0941-0643

Année de publication: 2020

Volumen: 32

Número: 5

Pages: 1231-1238

Type: Article

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