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dc.contributor.authorTegner, Jesper
dc.date.accessioned2023-02-01T11:07:15Z
dc.date.available2023-02-01T11:07:15Z
dc.date.issued2023-01-12
dc.identifier.citationTegner, J. N. (2023). Translating single-cell genomics into cell types. Nature Machine Intelligence, 5(1), 11–12. https://doi.org/10.1038/s42256-022-00600-6
dc.identifier.issn2522-5839
dc.identifier.doi10.1038/s42256-022-00600-6
dc.identifier.urihttp://hdl.handle.net/10754/687443
dc.description.abstractMachine translation of languages can now automatically detect different cell types from single-cell transcriptomic data. Such a feat opens the prospect of dissecting complex clinical samples such as heterogenous tumours at scale.
dc.description.sponsorshipJ.N.T. acknowledge support from the King Abdullah University of Science and Technology.
dc.publisherSpringer Science and Business Media LLC
dc.relation.urlhttps://www.nature.com/articles/s42256-022-00600-6
dc.rightsThis is an accepted manuscript version of a paper before final publisher editing and formatting. Archived with thanks to Springer Science and Business Media LLC. The version of record is available from NATURE MACHINE INTELLIGENCE.
dc.titleTranslating single-cell genomics into cell types
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
dc.contributor.departmentBiological and Environmental Science and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.identifier.journalNATURE MACHINE INTELLIGENCE
dc.identifier.wosutWOS:000913148200001
dc.eprint.versionPost-print
dc.contributor.institutionUnit of Computational Medicine, Department of Medicine, Centre for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
dc.contributor.institutionScience for Life Laboratory, Solna, Sweden
dc.identifier.volume5
dc.identifier.issue1
dc.identifier.pages11-12
kaust.personTegner, Jesper


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