What question did this study set out to answer?

To introduce ROAST, a statistical rotation gene set testing framework tailored for multi-factor and complex microarray experimental designs.

July 7, 2010BioinformaticsOpen Access

ROAST: rotation gene set tests for complex microarray experiments

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Authors

DWDi WuUniversity of North Carolina at Chapel Hill ELElgene LimNew South Wales Department of Health FVFrançois VaillantThe University of Melbourne

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Implication

Methodological evaluation demonstrates rotation gene set tests in complex microarray experiments, enabling flexible pathway analysis within the limma package.

Key Points

To introduce ROAST, a statistical rotation gene set testing framework tailored for multi-factor and complex microarray experimental designs.
Developed a rotation-based testing procedure capable of accommodating linear model contrasts and sample correlations.
Implemented the testing routine as an accessible function within the limma package for the Bioconductor software repository.
Provides flexible gene set enrichment analysis that accounts for covariates, batch adjustments, and complex linear models in expression data.
Delivers an integrated software workflow in Bioconductor to support reproducible statistical genomics analysis.

Cite This Study

Wu et al. (2010) studied this question.

synapsesocial.com/papers/69d87bf752654bb436d193bf https://doi.org/10.1093/bioinformatics/btq401

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Implication

Methodological evaluation demonstrates rotation gene set tests in complex microarray experiments, enabling flexible pathway analysis within the limma package.

ROAST: rotation gene set tests for complex microarray experiments

Discussion

Member takes

Implication

Key Points

Cite This Study

ROAST: rotation gene set tests for complex microarray experiments

Discussion

Member takes

Implication

Key Points

Cite This Study

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