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
贝叶斯网络插补方法应用于多组学数据，识别出包含不完整数据的2型糖尿病数据集中的潜在因果关系：一项IMI DIRECT研究
期刊:PLoS Genetics
影响因子:3.7
doi:10.1371/journal.pgen.1011776
Howey, Richard; Adam, Jonathan; Adamski, Jerzy; Atabaki, Natalie N; Brunak, Søren; Chmura, Piotr Jaroslaw; De Masi, Federico; Dermitzakis, Emmanouil T; Fernandez-Tajes, Juan J; Forgie, Ian M; Franks, Paul W; Giordano, Giuseppe N; Haid, Mark; Hansen, Torben; Hansen, Tue H; Harms, Peter P; Hattersley, Andrew T; Hong, Mun-Gwan; Jacobsen, Ulrik Plesner; Jones, Angus G; Koivula, Robert W; Kokkola, Tarja; Mahajan, Anubha; Mari, Andrea; McCarthy, Mark I; McDonald, Timothy J; Musholt, Petra B; Pavo, Imre; Pearson, Ewan R; Pedersen, Oluf; Ruetten, Hartmut; Rutters, Femke; Schwenk, Jochen M; Sharma, Sapna; 't Hart, Leen M; Vestergaard, Henrik; Walker, Mark; Viñuela, Ana; Cordell, Heather J
