GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies
Runmin Wei, Jingye Wang, Erik Jia, Tianlu Chen, Yan Ni, Wei Ping Jia
GSimp is a Gibbs sampler-based method for imputing left-censored missing values in metabolomics data, showing superior performance in accuracy and statistical analysis.
PLoS Computational Biology · Jan 31, 2018Peer-reviewedBioinformatics