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Statistical validation of megavariate effects in ASCA
BACKGROUND: Innovative extensions of (M) ANOVA gain common ground for the analysis of designed metabolomics experiments. ASCA is such a multivariate analysis method; it has successfully estimated effects in megavariate metabolomics data from biological experiments. However, rigorous statistical vali...
| 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/PMC2211757/ https://www.ncbi.nlm.nih.gov/pubmed/17760983 http://dx.doi.org/10.1186/1471-2105-8-322 |