Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm

dc.contributor.author	Reinbolt, R. E.
dc.contributor.author	Sonis, Stephen T.
dc.contributor.author	Timmers, C. D.
dc.contributor.author	Fernández Martínez, Juan Luis
dc.contributor.author	Cernea Corbeanu, Ana
dc.contributor.author	Andrés Galiana, Enrique Juan de
dc.contributor.author	Hashemi, S.
dc.contributor.author	Miller, K.
dc.contributor.author	Pilarski, R.
dc.contributor.author	Lustberg, M. B.
dc.date.accessioned	2018-02-28T10:41:15Z
dc.date.available	2018-02-28T10:41:15Z
dc.date.issued	2017
dc.identifier.citation	Cancer Medicine, 7(1), p. 240-253 (2017); doi:10.1002/cam4.1256
dc.identifier.issn	2045-7634
dc.identifier.uri	http://hdl.handle.net/10651/46218
dc.format.extent	p. 240-253
dc.language.iso	eng
dc.relation.ispartof	Cancer Medicine
dc.rights	© R. E. Reinbolt et al.
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034778058&doi=10.1002%2fcam4.1256&partnerID=40&md5=29f391f9714096b4f9bccfde4c6f929f
dc.title	Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm
dc.type	journal article
dc.identifier.doi	10.1002/cam4.1256
dc.relation.publisherversion	http://dx.doi.org/10.1002/cam4.1256

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