Journal Article

Eigen-<i>R</i><sup>2</sup> for dissecting variation in high-dimensional studies

Lin S. Chen and John D. Storey

in Bioinformatics

Volume 24, issue 19, pages 2260-2262
Published in print October 2008 | ISSN: 1367-4803
Published online August 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn411
Eigen-R2 for dissecting variation in high-dimensional studies

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Summary: We provide a new statistical algorithm and software package called ‘eigen-R2’ for dissecting the variation of a high-dimensional biological dataset with respect to other measured variables of interest. We apply eigen-R2 to two real-life examples and compare it with simply averaging R2 over many features.

Availability: An R-package eigenR2 is available at http://www.genomine.org/eigenr2/ and will be made publicly available via Bioconductor.

Contact: jstorey@princeton.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  2195 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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