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Protein fold families prediction based on graph representations and machine learning methods
dc.contributor.author | Areiza-Laverde H.J. | |
dc.contributor.author | Mercado-Diaz L.R. | |
dc.contributor.author | Castro-Ospina A.E. | |
dc.contributor.author | Jaramillo-Garzon J.A. | |
dc.date.accessioned | 2020-08-28T22:28:21Z | |
dc.date.available | 2020-08-28T22:28:21Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12622/3575 | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85002938731&doi=10.1109%2fSTSIVA.2016.7743298&partnerID=40&md5=c16a0f7d0953030ca1e27c1193148750 | |
dc.title | Protein fold families prediction based on graph representations and machine learning methods | spa |
dc.title.alternative | 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 | |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.rights.accessrights | info:eu-repo/semantics/closedAccess | |
dc.identifier.doi | 10.1109/STSIVA.2016.7743298 | |
dc.description.edition | 7743298 | |
dc.type.version | info:eu-repo/semantics/publishedVersion |
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