ASCA is presented as the state-of-the-art multivariate extension of ANOVA for interpreting high-dimensional data from Design of Experiments, with recommended best practices illustrated by a guiding example.
ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis
ASCA is presented as the state-of-the-art multivariate extension of ANOVA for interpreting high-dimensional data from Design of Experiments, with recommended best practices illustrated by a guiding example.