Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches

dc.contributor.author	Andrés Galiana, Enrique Juan de
dc.contributor.author	Bea, G.
dc.contributor.author	Fernández Martínez, Juan Luis
dc.contributor.author	Saligan, L. N.
dc.date.accessioned	2020-01-23T08:17:30Z
dc.date.available	2020-01-23T08:17:30Z
dc.date.issued	2019
dc.identifier.citation	Computers in Biology and Medicine, 115, p. 103492- (2019); doi:10.1016/j.compbiomed.2019.103492
dc.identifier.issn	0010-4825
dc.identifier.uri	http://hdl.handle.net/10651/53728
dc.format.extent	p. 103492-
dc.language.iso	eng
dc.relation.ispartof	Computers in Biology and Medicine
dc.rights	©,
dc.rights	CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073162769&doi=10.1016%2fj.compbiomed.2019.103492&partnerID=40&md5=4e7afb7f9ea214c018b4e356d6629fc9
dc.title	Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches
dc.type	journal article
dc.identifier.doi	10.1016/j.compbiomed.2019.103492
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.compbiomed.2019.103492
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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