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.

Journal:
PLOS Genetics
Published:
Affiliations:
37
Authors:
39
Institutions Authors Share
University of Copenhagen (UCPH), Denmark
5.666667
0.15
Newcastle University, United Kingdom (UK)
3.500000
0.09
Helmholtz Zentrum München - German Research Center for Environmental Health (HMGU), Germany
3.333333
0.09
Oxford Wellcome Trust Centre for Human Genetics, United Kingdom (UK)
3.000000
0.08
Ninewells Hospital and Medical School, United Kingdom (UK)
2.500000
0.06
Amsterdam UMC, Netherlands
2.500000
0.06
Science for Life Laboratory (SciLifeLab), Sweden
2.000000
0.05
Sanofi-Aventis Deutschland GmbH, Germany
2.000000
0.05
Lund University (LU), Sweden
1.833333
0.05
University of Exeter, United Kingdom (UK)
1.500000
0.04
Royal Devon University Healthcare NHS Foundation Trust, United Kingdom (UK)
1.500000
0.04
Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), United Kingdom (UK)
1.333333
0.03
Technical University of Denmark (DTU), Denmark
1.000000
0.03
University of Geneva (UNIGE), Switzerland
1.000000
0.03
University of Eastern Finland (UEF), Finland
1.000000
0.03
National Research Council (CNR), Italy
1.000000
0.03
Eli Lilly GmbH, Austria
1.000000
0.03
Queen Mary University of London (QMUL), United Kingdom (UK)
0.500000
0.01
Zealand University Hospital, Denmark
0.500000
0.01
Leiden University Medical Center (LUMC), Netherlands
0.500000
0.01
Steno Diabetes Center Copenhagen (SDCC), Denmark
0.500000
0.01
National University of Singapore (NUS), Singapore
0.333333
0.01
University of Ljubljana, Slovenia
0.333333
0.01
Herlev University Hospital, Denmark
0.333333
0.01
Gentofte University Hospital, Denmark
0.333333
0.01