A Methodology for the Detection of Relevant Single Nucleotide Polymorphism in Prostate Cancer by Means of Multivariate Adaptive Regression Splines and Backpropagation Artificial Neural Networks

Juan Enrique Sánchez Lasheras, Adonina Tardón, Guillermo González Tardón, Sergio Luis Suárez Gómez, Vicente Martín Sánchez, Carmen González-Donquiles, Francisco Javier de Cos Juez. A Methodology for the Detection of Relevant Single Nucleotide Polymorphism in Prostate Cancer by Means of Multivariate Adaptive Regression Splines and Backpropagation Artificial Neural Networks. In Hilde Pérez García, Javier Alfonso-Cendón, Lidia Sánchez-González, Héctor Quintián, Emilio Corchado, editors, International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, León, Spain, September 6-8, 2017, Proceedings. Volume 649 of Advances in Intelligent Systems and Computing, pages 391-399, Springer, 2017. [doi]