Article

Variable-Selection ANOVA Simultaneous Component Analysis (VASCA)

2022-06-16

Abstract excerpt

<h4>Motivation</h4> ANOVA Simultaneous Component Analysis (ASCA) is a popular method for the analysis of multivariate data yielded by designed experiments. Meaningful associations between factors/interactions of the experimental design and measured variables in the data set are typically identified via significance testing, with permutation tests being the standard go-to choice. However, in settings with large num...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9a4e7df4-9199-5637-92fb-29b479e8540e
DOI: 10.1101/2022.06.13.22276334

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Variable-Selection ANOVA Simultaneous Component Analysis (VASCA)DOI 10.1101/2022.06.13.22276334Read

So you think you can PLS-DA?Semantic proximity Read

Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome dataSemantic proximity Read

GSAR: Bioconductor package for Gene Set analysis in R.Semantic proximity Read

Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems.Semantic proximity Read

PCR, PLS, or OPLS Evaluation of different regression techniques for hypothesis generationSemantic proximity Read

Variable selection methods for classification : application to metabolomics dataSemantic proximity Read

Adaptive Sparse Multi-Block PLS Discriminant Analysis: An Integrative Method for Identifying Key Biomarkers from Multi-Omics Data.Semantic proximity Read

Principal component analysis based methods in bioinformatics studies.Semantic proximity Read

AC-PCA: simultaneous dimension reduction and adjustment for confounding variationSemantic proximity Read

A Fast, Provably Accurate Approximation Algorithm for Sparse Principal Component Analysis Reveals Human Genetic Variation Across the WorldSemantic proximity Read

Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond.Semantic proximity Read

Statistical significance of variables driving systematic variation in high-dimensional data.Semantic proximity Read