A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks.
FI: 4,774
Type: Article
Collaboration
Year: 2020
Writers
Lasheras, JES; Donquiles, CG; Nieto, PJG; Moleon, JJJ; Salas, D; Gomez, SLS; de la Torre, AJM; Gonzalez-Nuevo, J; Bonavera, L; Landeira, JC; Judge, FJD
Magazine
Title: NEURAL COMPUTING & APPLICATIONS
Quartile
- Q1