English español

Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/48932

Title: A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks
Author(s): Sánchez Lasheras, Juan Enrique
González Donquiles, Carmen
García Nieto, Paulino José
Jiménez Moleón, José Juan
Salas, Dolores
Suárez Gómez, Sergio Luis
Molina de la Torre, Antonio José
González-Nuevo González, Joaquín
Bonavera, Laura
Carballido Landeira, Jorge
Cos Juez, Francisco Javier de
Issue date: 2018
Publisher version: http://dx.doi.org/10.1007/s00521-018-3503-4
Citation: Neural Computing and Applications, p. 1-8 (2018); doi:10.1007/s00521-018-3503-4
Format extent: p. 1-8
URI: http://hdl.handle.net/10651/48932
ISSN: 0941-0643
Appears in Collections:Artículos

Files in This Item:

There are no files associated with this item.

Exportar a Mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Base de Datos de Autoridades Biblioteca Universitaria Consultas / Sugerencias