ANOVA – Simultaneous Component Analysis (ASCA)
ANOVA – Simultaneous Component Analysis (ASCA) is a multivariate method for analyzing matrices coming from designed experiments. It was originally proposed and developed by the Biosystems Data Analysis group of the University of Amsterdam. Here, a matlab function for calculating and validating ASCA models with an arbitrary number of factors is presented. So far, only calculation of effects up to the third order interactions is contemplated.
References:
Smilde et al.,”ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data”, Bioinformatics 21 (2005)
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J.J. Jansen et al., “ASCA: analysis of multivariate data obtained from an experimental design”. J. Chemometr. 19 (2005) 469-481.
Vis et al.,”Statistical validation of megavariate effects in ASCA”, BMC Bioinformatics, 8 (2007) 322.
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