Eigen-R2 for dissecting variation in high-dimensional studies

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Abstract

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. © The Author 2008. Published by Oxford University Press. All rights reserved.

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Chen, L. S., & Storey, J. D. (2008). Eigen-R2 for dissecting variation in high-dimensional studies. Bioinformatics, 24(19), 2260–2262. https://doi.org/10.1093/bioinformatics/btn411

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