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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Ponencias, Discursos y Conferencias >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/45476

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(s): Sánchez Lasheras, Juan Enrique
Tardón García, Adonina
Fernández Tardón, Guillermo
Suárez Gómez, Sergio Luis
Martín Sánchez, V.
González Donquiles, Carmen
Cos Juez, Francisco Javier de
Issue date: 2018
Publisher version: http://dx.doi.org/10.1007/978-3-319-67180-2_38
Series/Report no.: Advances in Intelligent Systems and Computing, 649
Format extent: p. 391-399
Description: SOCO 2017, ICEUTE 2017, CISIS 2017 (León. 2017)
URI: http://hdl.handle.net/10651/45476
ISBN: 978-3-319-67179-6
ISSN: 2194-5357
Appears in Collections:Ponencias, Discursos y Conferencias

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