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Language models in bioinformatics

Translating single-cell genomics into cell types

Nature Machine Intelligence volume 5, pages 11–12 (2023)Cite this article

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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.

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Fig. 1: The cells in our body have many different transcriptional ‘dialects’.

References

  1. Clarke, Z. A. et al. Nat. Protoc. 16, 2749–2764 (2021).

    Google Scholar 

  2. Tong, A. et al. Nat. Biotechnol. 39, 144–147 (2021).

    Google Scholar 

  3. Xia, B. & Yanai, I. Development (Cambridge) 146, dev169854 (2019).

    Google Scholar 

  4. Kiselev, V. Y., Andrews, T. S. & Hemberg, M. Nat. Rev. Genet. 20, 273–282 (2019).

    Google Scholar 

  5. Yang, F. et al. Nat. Mach. Intell. https://doi.org/10.1038/s42256-022-00534-z (2022).

    Article  Google Scholar 

  6. Schmidhuber, J. Neural Netw. 61, 85–117 (2015).

    Google Scholar 

  7. Eraslan, G., Avsec, Ž., Gagneur, J. & Theis, F. J. Nat. Rev. Genet. 20, 389–403 (2019).

    Google Scholar 

  8. Khan, S. et al. ACM Comput. Surv. 54, 200 (2022).

    Google Scholar 

  9. Zeng, H. Cell 185, 2739–2755 (2022).

    Google Scholar 

  10. Pang, M. & Tegnér, J. Preprint at bioRxiv https://doi.org/10.1101/2020.02.05.935239 (2020).

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Acknowledgements

J.N.T. acknowledge support from the King Abdullah University of Science and Technology.

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Authors and Affiliations

  1. Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

    Jesper N. Tegner

  2. Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

    Jesper N. Tegner

  3. Unit of Computational Medicine, Department of Medicine, Centre for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden

    Jesper N. Tegner

  4. Science for Life Laboratory, Solna, Sweden

    Jesper N. Tegner

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  1. Jesper N. Tegner
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Correspondence to Jesper N. Tegner.

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Tegner, J.N. Translating single-cell genomics into cell types. Nat Mach Intell 5, 11–12 (2023). https://doi.org/10.1038/s42256-022-00600-6

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