Deep learning improves macromolecule identification in 3d cellular cryo-electron tomograms

dc.contributor.author	Moebel, E.
dc.contributor.author	Martínez Sánchez, Antonio
dc.contributor.author	Lamm, L.
dc.date.accessioned	2022-04-22T11:14:33Z
dc.date.available	2022-04-22T11:14:33Z
dc.date.issued	2021
dc.identifier.citation	Nature Methods, 18(11), p. 1386-1394 (2021); doi:10.1038/s41592-021-01275-4
dc.identifier.issn	1548-7091
dc.identifier.uri	http://hdl.handle.net/10651/62998
dc.description	Véase "author correction" en la versión del editor.
dc.description.statementofresponsibility	Moebel, E., Martinez-Sanchez, A., Lamm, L., Righetto, R.D., Wietrzynski, W., Albert, S., Larivière, D., Fourmentin, E., Pfeffer, S., Ortiz, J., Baumeister, W., Peng, T., Engel, B.D., Kervrann, C.
dc.format.extent	p. 1386-1394
dc.language.iso	eng
dc.relation.ispartof	Nature methods
dc.rights	© Springer Nature
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117453449&doi=10.1038%2fs41592-021-01275-4&partnerID=40&md5=fac531f5f9dbe4987f14489da0ca4e8f
dc.title	Deep learning improves macromolecule identification in 3d cellular cryo-electron tomograms
dc.type	journal article
dc.identifier.doi	10.1038/s41592-021-01275-4
dc.relation.publisherversion	http://dx.doi.org/10.1038/s41592-021-01275-4

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