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Centering, scaling, and transformations: improving the biological information content of metabolomics data
BACKGROUND: Extracting relevant biological information from large data sets is a major challenge in functional genomics research. Different aspects of the data hamper their biological interpretation. For instance, 5000-fold differences in concentration for different metabolites are present in a meta...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1534033/ https://www.ncbi.nlm.nih.gov/pubmed/16762068 http://dx.doi.org/10.1186/1471-2164-7-142 |