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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.

J. Lasheras, A. Tardón, G. Tardón, S. Gómez, V. Sánchez, C. González-Donquiles, and F. de Cos Juez. SOCO-CISIS-ICEUTE, volume 649 of Advances in Intelligent Systems and Computing, page 391-399. Springer, (2017)

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Alma Carmen Fernández González

José González

Margarita González

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Olegario González

Other publications of authors with the same name

PoDA Algorithm: Predictive Pathways in Colorectal Cancer.C. González-Donquiles, F. Lasheras, J. Alonso-Molero, L. Vilorio-Marqués, T. Fernandez-Villa, G. Tardón, A. Molina, and V. Martin. SOCO-CISIS-ICEUTE, volume 649 of Advances in Intelligent Systems and Computing, page 419-427. Springer, (2017)A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks.J. Lasheras, C. González-Donquiles, P. Nieto, J. Moleon, D. Salas-Trejo, S. Gómez, A. de la Torre, J. González-Nuevo, L. Bonavera, J. Carballido-Landeira and 1 other author(s). Neural Comput. Appl., 32 (5): 1231-1238 (2020)A Multiregressive Approach for SNPs Identification in Prostate Cancer.D. Gutiérrez, F. Lasheras, S. Gómez, J. Rodríguez, A. Tardón, G. Tardón, C. González-Donquiles, and V. Sánchez. SOCO-CISIS-ICEUTE, volume 649 of Advances in Intelligent Systems and Computing, page 400-409. Springer, (2017)Assessing Feature Selection Techniques for a Colorectal Cancer Prediction Model.N. Cueto-López, R. Alaíz-Rodríguez, M. García-Ordás, C. González-Donquiles, and V. Martín. SOCO-CISIS-ICEUTE, volume 649 of Advances in Intelligent Systems and Computing, page 471-481. Springer, (2017)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.J. Lasheras, A. Tardón, G. Tardón, S. Gómez, V. Sánchez, C. González-Donquiles, and F. de Cos Juez. SOCO-CISIS-ICEUTE, volume 649 of Advances in Intelligent Systems and Computing, page 391-399. Springer, (2017)Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms.J. Lasheras, F. Lasheras, C. González-Donquiles, A. Tardón, G. Castaño-Vinyals, C. Palazuelos, D. Salas, V. Sánchez, and F. de Cos Juez. Neurocomputing, (2021)Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms.J. Lasheras, F. Lasheras, C. González-Donquiles, A. Tardón, G. Vynals, B. Pérez-Gómez, C. Palazuelos, D. Sala, and F. de Cos Juez. HAIS, volume 10870 of Lecture Notes in Computer Science, page 547-557. Springer, (2018)PoDA Algorithm: Predictive Pathways in Colorectal Cancer.C. González-Donquiles, F. Lasheras, J. Alonso-Molero, L. Vilorio-Marqués, T. Fernández-Villa, G. Tardón, A. Molina, and V. Martín. SOCO-CISIS-ICEUTE, volume 649 of Advances in Intelligent Systems and Computing, page 419-427. Springer, (2017)