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BayesMetab: treatment of missing values in metabolomic studies using a Bayesian modeling approach

BACKGROUND: With the rise of metabolomics, the development of methods to address analytical challenges in the analysis of metabolomics data is of great importance. Missing values (MVs) are pervasive, yet the treatment of MVs can have a substantial impact on downstream statistical analyses. The MVs p...

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Detalles Bibliográficos
Autores principales: Shah, Jasmit, Brock, Guy N., Gaskins, Jeremy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923847/
https://www.ncbi.nlm.nih.gov/pubmed/31861984
http://dx.doi.org/10.1186/s12859-019-3250-2