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Statistical methods for handling unwanted variation in metabolomics data
Metabolomics experiments are inevitably subject to a component of unwanted variation, due to factors such as batch effects, long runs of samples, and confounding biological variation. Although the removal of this unwanted variation is a vital step in the analysis of metabolomics data, it is consider...
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| Опубликовано в: : | Anal Chem |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4544854/ https://ncbi.nlm.nih.gov/pubmed/25692814 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/ac502439y |
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