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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Detalles Bibliográficos
Autores principales: Vis, Daniel J, Westerhuis, Johan A, Smilde, Age K, van der Greef, Jan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
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

Internet

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

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