A multivariate regression approach for identification of SNPs importance in prostate cancer

dc.contributor.author	Sánchez Lasheras, J. E.
dc.contributor.author	Suárez Gómez, Sergio Luis
dc.contributor.author	Santos Rodríguez, Jesús Daniel
dc.contributor.author	Castaño-Vinyals, G.
dc.contributor.author	Pérez-Gómez, B.
dc.contributor.author	Tardón García, Adonina
dc.date.accessioned	2019-08-21T07:33:38Z
dc.date.available	2019-08-21T07:33:38Z
dc.date.issued	2018
dc.identifier.citation	Journal of Experimental and Theoretical Artificial Intelligence (2018); doi:10.1080/0952813X.2018.1552319
dc.identifier.issn	0952-813X
dc.identifier.uri	http://hdl.handle.net/10651/52033
dc.language.iso	eng
dc.relation.ispartof	Journal of Experimental and Theoretical Artificial Intelligence
dc.rights	© 2018 Informa UK Limited
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059342519&doi=10.1080%2f0952813X.2018.1552319&partnerID=40&md5=b68d08a6826674a0566ef433190ada11
dc.title	A multivariate regression approach for identification of SNPs importance in prostate cancer
dc.type	journal article
dc.identifier.doi	10.1080/0952813X.2018.1552319
dc.relation.publisherversion	http://dx.doi.org/10.1080/0952813X.2018.1552319

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