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dc.contributor.authorAreiza-Laverde H.J.
dc.contributor.authorMercado-Diaz L.R.
dc.contributor.authorCastro-Ospina A.E.
dc.contributor.authorJaramillo-Garzon J.A.
dc.date.accessioned2020-08-28T22:28:21Z
dc.date.available2020-08-28T22:28:21Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/20.500.12622/3575
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85002938731&doi=10.1109%2fSTSIVA.2016.7743298&partnerID=40&md5=c16a0f7d0953030ca1e27c1193148750
dc.titleProtein fold families prediction based on graph representations and machine learning methodsspa
dc.title.alternative2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccess
dc.identifier.doi10.1109/STSIVA.2016.7743298
dc.description.edition7743298
dc.type.versioninfo:eu-repo/semantics/publishedVersion


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