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Protein tertiary structure prediction via SVD and PSO sampling

dc.contributor.authorÁlvarez Machancoses, Óscar
dc.contributor.authorFernández Martínez, Juan Luis 
dc.contributor.authorCernea Corbeanu, Ana 
dc.contributor.authorFernández Muñiz, María Zulima 
dc.contributor.authorKloczkowski, A.
dc.date.accessioned2018-10-08T10:22:55Z
dc.date.available2018-10-08T10:22:55Z
dc.date.issued2018
dc.identifier.isbn9783319787220
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/48661
dc.descriptionInternational Work-Conference, Bioinformatics and Biomedical Engineering, IWBBIO 2018 (6th, 2018, Granada, Spain)
dc.format.extentp. 211-220
dc.language.isoeng
dc.relation.ispartofBioinformatics and Biomedical Engineering. IWBBIO 2018.
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights© Springer International Publishing AG, part of Springer Nature 2018
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85045918383&doi=10.1007%2f978-3-319-78723-7_18&partnerID=40&md5=909a1d9d653fc3b66aa0abd6ba76b4c5
dc.titleProtein tertiary structure prediction via SVD and PSO sampling
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1007/978-3-319-78723-7_18
dc.type.dcmitext
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-319-78723-7_18


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