Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

Naeimeh Atabaki-Pasdar, Mattias Ohlsson, Ana Viñuela, Francesca Frau, Hugo Pomares-Millan, Mark Haid, Angus G. Jones, E. Louise Thomas, Robert W. Koivula, Azra Kurbasic, Pascal M. Mutie, Hugo Fitipaldi, Juan Fernandez, Adem Y. Dawed, Giuseppe N. Giordano, Ian M. Forgie, Timothy J. McDonald, Femke Rutters, Henna Cederberg, Elizaveta ChabanovaMatilda Dale, Federico de Masi, Cecilia Engel Thomas, Kristine H. Allin, Tue H. Hansen, Alison Heggie, Mun Gwan Hong, Petra J.M. Elders, Gwen Kennedy, Tarja Kokkola, Helle Krogh Pedersen, Anubha Mahajan, Donna McEvoy, Francois Pattou, Violeta Raverdy, Ragna S. Häussler, Sapna Sharma, Henrik S. Thomsen, Jagadish Vangipurapu, Henrik Vestergaard, Leen M. T Hart, Jerzy Adamski, Petra B. Musholt, Soren Brage, Søren Brunak, Emmanouil Dermitzakis, Gary Frost, Torben Hansen, Markku Laakso, Oluf Pedersen, Martin Ridderstråle, Hartmut Ruetten, Andrew T. Hattersley, Mark Walker, Joline W.J. Beulens, Andrea Mari, Jochen M. Schwenk, Ramneek Gupta, Mark I. McCarthy, Ewan R. Pearson, Jimmy D. Bell, Imre Pavo, Paul W. Franks*

*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

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Biochemistry, Genetics and Molecular Biology