BibTex format
@article{Allesoe:2023:10.1038/s41587-022-01520-x,
author = {Allesoe, RL and Lundgaard, AT and Medina, RH and Aguayo-Orozco, A and Johansen, J and Nissen, JN and Brorsson, C and Mazzoni, G and Niu, L and Biel, JH and Brasas, V and Webel, H and Benros, ME and Pedersen, AG and Chmura, PJ and Jacobsen, UP and Mari, A and Koivula, R and Mahajan, A and Vinuela, A and Tajes, JF and Sharma, S and Haid, M and Hong, M-G and Musholt, PB and De, Masi F and Vogt, J and Pedersen, HK and Gudmundsdottir, V and Jones, A and Kennedy, G and Bell, J and Thomas, EL and Frost, G and Thomsen, H and Hansen, E and Hansen, TH and Vestergaard, H and Muilwijk, M and Blom, MT and Hart, LMT and Pattou, F and Raverdy, V and Brage, S and Kokkola, T and Heggie, A and McEvoy, D and Mourby, M and Kaye, J and Hattersley, A and McDonald, T and Ridderstrale, M and Walker, M and Forgie, I and Giordano, GN and Pavo, I and Ruetten, H and Pedersen, O and Hansen, T and Dermitzakis, E and Franks, PW and Schwenk, JM and Adamski, J and McCarthy, M and Pearson, E and Banasik, K and Rasmusse},
doi = {10.1038/s41587-022-01520-x},
journal = {NATURE BIOTECHNOLOGY},
pages = {399--+},
title = {Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models},
url = {http://dx.doi.org/10.1038/s41587-022-01520-x},
volume = {41},
year = {2023}
}