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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...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2007
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2211757/ https://ncbi.nlm.nih.gov/pubmed/17760983 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-322 |
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