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

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, Valentas Brasas, Henry Webel, Michael Eriksen Benros, Anders Gorm Pedersen, Piotr Jaroslaw Chmura, Ulrik Plesner Jacobsen, Andrea Mari, Robert Koivula, Anubha Mahajan, Ana VinuelaJuan 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, Tarja Kokkola, Alison Heggie, Donna McEvoy, Miranda Mourby, Jane Kaye, Martin Ridderstråle, IMI-DIRECT consortium, Line Engelbrechtsen (Member of study group)

13 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models'. Together they form a unique fingerprint.

Medicine & Life Sciences

Chemistry

Engineering & Materials Science