Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models (vol 41, pg 399, 2023): Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x)

Rosa Lundbye Allesøe; Agnete Troen Lundgaard; Ricardo Hernández Medina; Alejandro Aguayo-Orozco; Joachim Johansen; Jakob Nybo Nissen; Caroline Brorsson; Gianluca Mazzoni; Lili Niu; Jorge Hernansanz Biel; Cristina Leal Rodríguez; Valentas Brasas; Henry Webel; Michael Eriksen Benros; Anders Gorm Pedersen; Piotr Jaroslaw Chmura; Ulrik Plesner Jacobsen; Andrea Mari; Robert Koivula; Anubha Mahajan; Ana Vinuela; Juan Fernandez Tajes; Sapna Sharma; Mark Haid; Mun-Gwan Hong; Petra B Musholt; Federico De Masi; Josef Vogt; Helle Krogh Pedersen; Valborg Gudmundsdottir; Angus Jones; Gwen Kennedy; Jimmy Bell; E Louise Thomas; Gary Frost; Henrik Thomsen; Elizaveta Hansen; Tue Haldor Hansen; Henrik Vestergaard; Mirthe Muilwijk; Marieke T Blom; Leen M 't Hart; Francois Pattou; Violeta Raverdy; Soren Brage; Martin Ridderstråle; Oluf Pedersen; Torben Hansen; Simon Rasmussen; Søren Brunak; IMI-DIRECT consortium

doi:10.1038/s41587-023-01805-9

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models (vol 41, pg 399, 2023): Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x)

Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, Alejandro Aguayo-Orozco, Joachim Johansen, Jakob Nybo Nissen, Caroline Brorsson, Gianluca Mazzoni, Lili Niu, Jorge Hernansanz Biel, Cristina Leal Rodríguez, Valentas Brasas, Henry Webel, Michael Eriksen Benros, Anders Gorm Pedersen, Piotr Jaroslaw Chmura, Ulrik Plesner Jacobsen, Andrea Mari, Robert Koivula, Anubha MahajanAna Vinuela, Juan Fernandez Tajes, Sapna Sharma, Mark Haid, Mun-Gwan Hong, Petra B Musholt, Federico De Masi, Josef Vogt, Helle Krogh Pedersen, Valborg Gudmundsdottir, Angus Jones, Gwen Kennedy, Jimmy Bell, E Louise Thomas, Gary Frost, Henrik Thomsen, Elizaveta Hansen, Tue Haldor Hansen, Henrik Vestergaard, Mirthe Muilwijk, Marieke T Blom, Leen M 't Hart, Francois Pattou, Violeta Raverdy, Soren Brage, Martin Ridderstråle, Oluf Pedersen, Torben Hansen, Simon Rasmussen, Søren Brunak, IMI-DIRECT consortium

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Abstract

Correction to: Nature Biotechnology. Published online 2 January 2023. In the version of this article initially published, Cristina Leal Rodríguez (Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark) was omitted from the author list. The error has been corrected in the HTML and PDF versions of the article.

Original language	English
Journal	Nature Biotechnology
Volume	41
Issue number	7
Pages (from-to)	1026
Number of pages	1
ISSN	1087-0156
DOIs	https://doi.org/10.1038/s41587-023-01805-9
Publication status	Published - Jul 2023

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Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., Leal Rodríguez, C., Brasas, V., Webel, H., Benros, M. E., Pedersen, A. G., Chmura, P. J., Jacobsen, U. P., Mari, A., Koivula, R., ... IMI-DIRECT consortium (2023). Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models (vol 41, pg 399, 2023): Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x). Nature Biotechnology, 41(7), 1026. https://doi.org/10.1038/s41587-023-01805-9

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models (vol 41, pg 399, 2023): Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x). / Allesøe, Rosa Lundbye; Lundgaard, Agnete Troen; Hernández Medina, Ricardo et al.
In: Nature Biotechnology, Vol. 41, No. 7, 07.2023, p. 1026.

Research output: Contribution to journal › Journal article › Research › peer-review

Allesøe, RL, Lundgaard, AT, Hernández Medina, R, Aguayo-Orozco, A, Johansen, J, Nissen, JN, Brorsson, C, Mazzoni, G, Niu, L, Biel, JH, Leal Rodríguez, C, Brasas, V, Webel, H, Benros, ME, Pedersen, AG, Chmura, PJ, Jacobsen, UP, Mari, A, Koivula, R, Mahajan, A, Vinuela, A, Tajes, JF, Sharma, S, Haid, M, Hong, M-G, Musholt, PB, De Masi, F, Vogt, J, Pedersen, HK, Gudmundsdottir, V, Jones, A, Kennedy, G, Bell, J, Thomas, EL, Frost, G, Thomsen, H , Hansen, E, Hansen, TH, Vestergaard, H, Muilwijk, M, Blom, MT, 't Hart, LM, Pattou, F, Raverdy, V, Brage, S, Ridderstråle, M, Pedersen, O, Hansen, T, Rasmussen, S, Brunak, S & IMI-DIRECT consortium 2023, 'Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models (vol 41, pg 399, 2023): Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x)', Nature Biotechnology, vol. 41, no. 7, pp. 1026. https://doi.org/10.1038/s41587-023-01805-9

Allesøe RL, Lundgaard AT, Hernández Medina R, Aguayo-Orozco A, Johansen J, Nissen JN et al. Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models (vol 41, pg 399, 2023): Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x). Nature Biotechnology. 2023 Jul;41(7):1026. doi: 10.1038/s41587-023-01805-9

Allesøe, Rosa Lundbye ; Lundgaard, Agnete Troen ; Hernández Medina, Ricardo et al. / Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models (vol 41, pg 399, 2023) : Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x). In: Nature Biotechnology. 2023 ; Vol. 41, No. 7. pp. 1026.

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Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models (vol 41, pg 399, 2023): Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x)

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