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 - researchr publication authors

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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]

This author has not been identified. Look up 'Juan Enrique Sánchez Lasheras' in GoogleThis author has not been identified. Look up 'Adonina Tardón' in GoogleThis author has not been identified. Look up 'Guillermo González Tardón' in GoogleThis author has not been identified. Look up 'Sergio Luis Suárez Gómez' in GoogleThis author has not been identified. Look up 'Vicente Martín Sánchez' in GoogleThis author has not been identified. Look up 'Carmen González-Donquiles' in GoogleThis author has not been identified. Look up 'Francisco Javier de Cos Juez' in Google

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