Ghosh, Saurabh; Fardo, David W (2018) Association analyses of repeated measures on triglyceride and high-density lipoprotein levels: insights from GAW20. BMC Genet 19:73
|
Auerbach, Jonathan; Howey, Richard; Jiang, Lai et al. (2018) Causal modeling in a multi-omic setting: insights from GAW20. BMC Genet 19:74
|
Sarnowski, Chloé; Lent, Samantha; Dupuis, Josée (2018) Investigation of parent-of-origin effects induced by fenofibrate treatment on triglycerides levels. BMC Genet 19:83
|
Darst, Burcu F; Malecki, Kristen C; Engelman, Corinne D (2018) Using recursive feature elimination in random forest to account for correlated variables in high dimensional data. BMC Genet 19:65
|
LeBlanc, Marissa; Nustad, Haakon E; Zucknick, Manuela et al. (2018) Quality control for Illumina 450K methylation data in the absence of iDat files using correlation structure in pedigrees and repeated measures. BMC Genet 19:66
|
Wu, Chong; Park, Jun Young; Guan, Weihua et al. (2018) An adaptive gene-based test for methylation data. BMC Proc 12:60
|
Fernández-Rhodes, Lindsay; Howard, Annie Green; Tao, Ran et al. (2018) Characterization of the contribution of shared environmental and genetic factors to metabolic syndrome methylation heritability and familial correlations. BMC Genet 19:69
|
Zhao, Kaiqiong; Jiang, Lai; Klein, Kathleen et al. (2018) CpG-set association assessment of lipid concentration changes and DNA methylation. BMC Proc 12:30
|
Darst, Burcu; Engelman, Corinne D; Tian, Ye et al. (2018) Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20. BMC Genet 19:76
|
Park, Jun Young; Wu, Chong; Pan, Wei (2018) An adaptive gene-level association test for pedigree data. BMC Genet 19:68
|
Showing the most recent 10 out of 631 publications