GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies
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DOI: 10.1371/journal.pcbi.1005973
Abstract: 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,… read more here.
Keywords: censored missing; left censored; value imputation; missing value ... See more keywords