Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models:[with Author Correction]

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

Publikováno v: 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, Brasas, V, Webel, H, Benros, M E, Pedersen, A G, Chmura, P J, Jacobsen, U P, Mari, A, Koivula, R, Mahajan, A, Vinuela, A, Tajes, J F, Sharma, S, Haid, M, Hong, M-G, Musholt, P B, De Masi, F, Vogt, J, Pedersen, H K, Gudmundsdottir, V, Jones, A, Kennedy, G, Bell, J, Thomas, E L, Frost, G, Thomsen, H, Hansen, E, Hansen, T H, Vestergaard, H, Muilwijk, M, Blom, M T, 't Hart, L M, Pattou, F, Raverdy, V, Brage, S, Ridderstråle, M, Pedersen, O, Hansen, T, Banasik, K, Rasmussen, S, Brunak, S & IMI-DIRECT consortium 2023, ' Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models : [with Author Correction] ', Nature Biotechnology, vol. 41, no. 3, pp. 399–408 . https://doi.org/10.1038/s41587-022-01520-x

The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes int

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2751::d1c761bac48dd6407bd4f13e9414d97e
https://curis.ku.dk/portal/da/publications/discovery-of-drugomics-associations-in-type-2-diabetes-with-generative-deeplearning-models(88eb674c-a6cf-4bab-b529-a9e4015dbaec).html

Author Correction: Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models.

Autor: Allesøe, Rosa Lundbye, Lundgaard, Agnete Troen, Hernández Medina, Ricardo, Aguayo-Orozco, Alejandro, Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, Caroline, Mazzoni, Gianluca, Niu, Lili, Biel, Jorge Hernansanz, Leal Rodríguez, Cristina, Brasas, Valentas, Webel, Henry, Benros, Michael Eriksen, Pedersen, Anders Gorm, Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, Andrea, Koivula, Robert, Mahajan, Anubha

Publikováno v: Nature Biotechnology; Jul2023, Vol. 41 Issue 7, p1026-1026, 1p