Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies

Abstract

Missing data in untargeted MS-based metabolomics data occur for various reasons. Based on our results, we recommend that KNN-based imputation is performed on observations with variable pre-selection since it showed robust results in all evaluation schemes.