A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks
FI: 4,774
Tipo: Article
Colaboración
Año: 2020
Autores
Lasheras, JES; Donquiles, CG; Nieto, PJG; Moleon, JJJ; Salas, D; Gomez, SLS; de la Torre, AJM; Gonzalez-Nuevo, J; Bonavera, L; Landeira, JC; Juez, FJD
Revista
Título: NEURAL COMPUTING & APPLICATIONS
Cuartil
- Q1