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DataTool

shiny app for ANOVA-Simultaneous Component Analysis
ASCA, a tool for analyzing designed metabolomics data (see DOI:10.1093/ BIOINFORMATICS/BTI476Corpus ID: 17677647)
Authors: Age K Smilde, Jeroen J Jansen, Huub C J Hoefsloot, Robert-Jan A N Lamers, Jan van der Greef, Marieke E Timmerman

ASCA, a new method that can deal with complex multivariate datasets containing an underlying experimental design, such as metabolomics datasets. It is a direct generalization of analysis of variance (ANOVA) for univariate data to the multivariate case. The method allows for easy interpretation of the variation induced by the different factors of the design. The method is illustrated with a dataset from a metabolomics experiment with time and dose factors

Shiny app

Developer(s): G. Zwanenburg, F. van der Kloet

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shiny app for ASCA

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