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Normalization method for metabolomics data using optimal selection of multiple internal standards
BACKGROUND: Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific sources of variability such as systematic error is therefore one of the foremost priorities in data preprocessing. However,...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1838434/ https://www.ncbi.nlm.nih.gov/pubmed/17362505 http://dx.doi.org/10.1186/1471-2105-8-93 |