Show simple item record

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

dc.contributor.authorSánchez Lasheras, Juan Enrique
dc.contributor.authorTardón García, Adonina 
dc.contributor.authorFernández Tardón, Guillermo 
dc.contributor.authorSuárez Gómez, Sergio Luis 
dc.contributor.authorMartín Sánchez, V.
dc.contributor.authorGonzález Donquiles, Carmen
dc.contributor.authorCos Juez, Francisco Javier de 
dc.date.accessioned2018-02-06T10:11:18Z
dc.date.available2018-02-06T10:11:18Z
dc.date.issued2018
dc.identifier.isbn978-3-319-67179-6
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10651/45476
dc.descriptionSOCO 2017, ICEUTE 2017, CISIS 2017 (León. 2017)
dc.format.extentp. 391-399
dc.language.isoeng
dc.relation.ispartofInternational Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing, 649
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85028655681&doi=10.1007%2f978-3-319-67180-2_38&partnerID=40&md5=b5ae31cd28d4ce090961b4a51ba1dab3
dc.titleA methodology for the detection of relevant single nucleotide polymorphism in prostate cancer by means of multivariate adaptive regression splines and backpropagation artificial neural networkseng
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-319-67180-2_38
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-319-67180-2_38


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record