Deep neural networks for phenotype prediction in rare diseases inclusion body myositis: a case study

dc.contributor.author	Andrés Galiana, Enrique Juan de
dc.contributor.author	Fernández Ovies, Francisco Javier
dc.contributor.author	Cernea Corbeanu, Ana
dc.contributor.author	Fernández Martínez, Juan Luis
dc.contributor.author	Kloczkowski, Andrzej
dc.date.accessioned	2021-06-01T09:40:14Z
dc.date.available	2021-06-01T09:40:14Z
dc.date.issued	2020
dc.identifier.citation	Andrés-Galiana, E. J. de, Fernández-Ovies, F. J., Cernea, A., Fernández-Martínez, J. L. y Kloczkowski, A. (2020). Deep neural networks for phenotype prediction in rare diseases. En Barh, Debmalya (Ed.) Artificial Intelligence in Precision Health (pp. 189-202). London : Elsevier.
dc.identifier.uri	http://hdl.handle.net/10651/58540
dc.description.sponsorship	NSFNational Science Foundation (NSF) [DBI 1661391]; NIHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [R01 GM127701, R01 GM127701-01S1]; Research Institute at Nationwide Children's HospitalOhio State University; Visiting Professorship Award
dc.format.extent	p. 189-202
dc.language.iso	eng
dc.relation.ispartof	Artificial Intelligence In Precision Health: From Concept To Applications
dc.rights	© 2020 Elsevier
dc.source	WOS:000558581800009
dc.title	Deep neural networks for phenotype prediction in rare diseases inclusion body myositis: a case study
dc.type	book part	spa
dc.identifier.doi	10.1016/B978-0-12-817133-2.00008-2
dc.relation.publisherversion	http://dx.doi.org/10.1016/B978-0-12-817133-2.00008-2

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