Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1371/journal.pmed.1003149
https://doi.org/10.1371/journal.pmed.1003149
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
Cited by: 43
Author(s): 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 Carlos Delgado Fernández, Adem Y. Dawed, G Giordano, Ian Forgie, Timothy J. McDonald, Femke Rutters, Henna Cederberg, Elizaveta Chabanova, Matilda Dale, Federico De Masi, Cecilia Engel Thomas, Kristine H. Allin, Torben Hansen, Alison Heggie, Mun Gwan Hong, Petra Elders, Gwen Kennedy, Tarja Kokkola, Helle Pedersen, Anubha Mahajan, Donna McEvoy, François Pattou, Violeta Raverdy, Ragna S. Häussler, Sapna Sharma, Henrik S. Thomsen, Jagadish Vangipurapu, Henrik Vestergaard, Leen M. ′t Hart, Jerzy Adamski, Petra B. Musholt, Søren Brage, Søren Brunak, Emmanouil T. Dermitzakis, Gary Frost, 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 McCarthy, Ewan R. Pearson, Jimmy D. Bell, Imre Pávó, Paul W. Franks
Published: over 4 years ago