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]
@inproceedings{LasherasTTGSDJ17,
title = {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},
author = {Juan Enrique Sánchez Lasheras and Adonina Tardón and Guillermo González Tardón and Sergio Luis Suárez Gómez and Vicente Martín Sánchez and Carmen González-Donquiles and Francisco Javier de Cos Juez},
year = {2017},
doi = {10.1007/978-3-319-67180-2_38},
url = {https://doi.org/10.1007/978-3-319-67180-2_38},
researchr = {https://researchr.org/publication/LasherasTTGSDJ17},
cites = {0},
citedby = {0},
pages = {391-399},
booktitle = {International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, León, Spain, September 6-8, 2017, Proceedings},
editor = {Hilde Pérez García and Javier Alfonso-Cendón and Lidia Sánchez-González and Héctor Quintián and Emilio Corchado},
volume = {649},
series = {Advances in Intelligent Systems and Computing},
publisher = {Springer},
isbn = {978-3-319-67180-2},
}