Missing data imputation using a truncated Gaussian infinite factor model with application to metabolomics data

Kate Finucane, Lorraine Brennan, Roberta De Vito +2

Metabolomics is the study of small molecules in biological samples. Metabolomics data are typically high-dimensional and contain highly correlated variables and frequent missing va…