GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies

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 develop...

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Detalles Bibliográficos
Autores principales: Wei, Runmin, Wang, Jingye, Jia, Erik, Chen, Tianlu, Ni, Yan, Jia, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809088/
https://www.ncbi.nlm.nih.gov/pubmed/29385130
http://dx.doi.org/10.1371/journal.pcbi.1005973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809088/
https://www.ncbi.nlm.nih.gov/pubmed/29385130
http://dx.doi.org/10.1371/journal.pcbi.1005973

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