Publication
Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study
Richard Howey, Jonathan Adam, Jerzy Adamski, Natalie N. Atabaki, Søren Brunak, Piotr Jaroslaw Chmura, Federico De Masi, Emmanouil T. Dermitzakis, Juan J. Fernandez-Tajes, Ian M. Forgie, Paul W. Franks, Giuseppe N. Giordano, Mark Haid, Torben Hansen, Tue H. Hansen, Peter P. Harms, Andrew T. Hattersley, Mun-gwan Hong, Ulrik Plesner Jacobsen, Angus G. Jones, Robert W. Koivula, Tarja Kokkola, Anubha Mahajan, Andrea Mari, Mark I. McCarthy, Timothy J. McDonald, Petra B. Musholt, Imre Pavo, Ewan R. Pearson, Oluf Pedersen, Hartmut Ruetten, Femke Rutters, Jochen M. Schwenk, Sapna Sharma, Leen M. ’t Hart, Henrik Vestergaard, Mark Walker, Ana Viñuela, Heather J. Cordell
PLoS Genetics, July 2025, PLOS
DOI: 10.1371/journal.pgen.1011776