Ontology highlight
ABSTRACT:
SUBMITTER: Wei R
PROVIDER: S-EPMC5809088 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Wei Runmin R Wang Jingye J Jia Erik E Chen Tianlu T Ni Yan Y Jia Wei W
PLoS computational biology 20180131 1
Left-censored missing values commonly exist in targeted metabolomics datasets and can be considered as missing not at random (MNAR). Improper data processing procedures for missing values will cause adverse impacts on subsequent statistical analyses. However, few imputation methods have been developed and applied to the situation of MNAR in the field of metabolomics. Thus, a practical left-censored missing value imputation method is urgently needed. We developed an iterative Gibbs sampler based ...[more]