Translating single-cell genomics into cell types

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Machine 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.
Original languageEnglish (US)
Pages (from-to)11-12
Number of pages2
JournalNature Machine Intelligence
Issue number1
StatePublished - Jan 12 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-02-02
Acknowledgements: J.N.T. acknowledge support from the King Abdullah University of Science and Technology.


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