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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| 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 |