On the use of principal component analysis and particle swarm optimization in protein tertiary structure prediction

dc.contributor.author	Álvarez Machancoses, Óscar
dc.contributor.author	Fernández Martínez, Juan Luis
dc.contributor.author	Fernández Brillet, C.
dc.contributor.author	Cernea Corbeanu, Ana
dc.contributor.author	Fernández Muñiz, María Zulima
dc.contributor.author	Kloczkowski, A.
dc.date.accessioned	2018-10-08T10:22:56Z
dc.date.available	2018-10-08T10:22:56Z
dc.date.issued	2018
dc.identifier.isbn	9783319912615
dc.identifier.issn	0302-9743
dc.identifier.uri	http://hdl.handle.net/10651/48662
dc.description	International Conference, Artificial Intelligence and Soft Computing, ICAISC 2018 (17th, 2018, Zakopane, Poland)
dc.format.extent	p. 107-116
dc.language.iso	eng
dc.relation.ispartof	Artificial Intelligence and Soft Computing. ICAISC 2018.
dc.relation.ispartofseries	Lecture 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.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048047015&doi=10.1007%2f978-3-319-91262-2_10&partnerID=40&md5=e731ea433e718ea9edbb1bb0563b4070
dc.title	On the use of principal component analysis and particle swarm optimization in protein tertiary structure prediction
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-319-91262-2_10
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-319-91262-2_10

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