Principal component analysis in protein tertiary structure prediction

dc.contributor.author	Álvarez Machancoses, Óscar
dc.contributor.author	Fernández Martínez, Juan Luis
dc.contributor.author	Fernández Brillet, Celia
dc.contributor.author	Cernea Corbeanu, Ana
dc.contributor.author	Fernández Muñiz, María Zulima
dc.contributor.author	Kloczkowski, Andrzej
dc.date.accessioned	2018-06-07T08:56:57Z
dc.date.available	2018-06-07T08:56:57Z
dc.date.issued	2018
dc.identifier.citation	Journal of Bioinformatics and Computational Biology, 16(2), p. 1850005 (2018); doi:10.1142/S0219720018500051
dc.identifier.issn	0219-7200
dc.identifier.uri	http://hdl.handle.net/10651/47230
dc.description.sponsorship	A.K. acknowledges financial support from NSF grand DBI1661391 and from the Research Institute at Nationwide Children's Hospital
dc.language.iso	eng
dc.relation.ispartof	Journal of Bioinformatics and Computational Biology, 16
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044309241&doi=10.1142%2fS0219720018500051&partnerID=40&md5=c83fc02e5f92bb85943113ccdc3dcbfa
dc.title	Principal component analysis in protein tertiary structure prediction
dc.type	journal article
dc.identifier.doi	10.1142/S0219720018500051
dc.relation.publisherversion	http://dx.doi.org/10.1142/S0219720018500051

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