Lili Niu

Lili Niu

Postdoc

Member of:


    1. 2023
    2. Published

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

      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. & 31 others, Tajes, J. F., Sharma, S., Haid, M., Hong, M., 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, Henrik S., Hansen, E., Hansen, T. H., drb459, drb459, Muilwijk, M., Blom, M. T., 't Hart, L. M., Pattou, F., Raverdy, V., Brage, S., Ridderstråle, M., Pedersen, Oluf Borbye, Hansen, Torben, Banasik, Karina, Rasmussen, Simon, Brunak, Søren & IMI-DIRECT consortium, I. C., 2023, In: Nature Biotechnology. 41, 3, p. 399–408 18 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 165028052