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

dc.contributor.authorAndrés Galiana, Enrique Juan de 
dc.contributor.authorBea, G.
dc.contributor.authorFernández Martínez, Juan Luis 
dc.contributor.authorSaligan, L. N.
dc.date.accessioned2020-01-23T08:17:30Z
dc.date.available2020-01-23T08:17:30Z
dc.date.issued2019
dc.identifier.citationComputers in Biology and Medicine, 115, p. 103492- (2019); doi:10.1016/j.compbiomed.2019.103492
dc.identifier.issn0010-4825
dc.identifier.urihttp://hdl.handle.net/10651/53728
dc.format.extentp. 103492-
dc.language.isoeng
dc.relation.ispartofComputers in Biology and Medicine
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073162769&doi=10.1016%2fj.compbiomed.2019.103492&partnerID=40&md5=4e7afb7f9ea214c018b4e356d6629fc9
dc.titleAnalysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches
dc.typejournal article
dc.identifier.doi10.1016/j.compbiomed.2019.103492
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.compbiomed.2019.103492


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