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Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits
Brown, A. A., Fernandez-Tajes, J. J., Hong, M., Brorsson, C. A., Koivula, R. W., Davtian, D., Dupuis, T., Sartori, A., Michalettou, T-D., Forgie, I. M., Adam, J., Allin, K. H., Caiazzo, R., Cederberg, H., de Masi, F., Elders, P. J. M., Giordano, G. N., Haid, M., Hansen, T., Hansen, T. H., & 134 others , 1 Dec 2023, In: Nature communications. 14, 1, 5062.Research output: Contribution to journal › Article › Academic › peer-review
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Author Correction: 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)
IMI DIRECT Consortium, Jul 2023, In: Nature biotechnology. 41, 7, p. 1026 1 p.Research output: Contribution to journal › Comment/Letter to the editor › Academic
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Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
IMI DIRECT Consortium, Mar 2023, In: Nature biotechnology. 41, 3, p. 399-408 10 p.Research output: Contribution to journal › Article › Academic › peer-review
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