|Title||Eigen-R2 for dissecting variation in high-dimensional studies.|
|Publication Type||Journal Article|
|Year of Publication||2008|
|Authors||Chen, LS, Storey, JD|
|Date Published||2008 Oct 1|
|Keywords||Algorithms, Gene Expression Profiling, Genetic Variation, Models, Statistical, Software|
UNLABELLED: We provide a new statistical algorithm and software package called 'eigen-R(2)' for dissecting the variation of a high-dimensional biological dataset with respect to other measured variables of interest. We apply eigen-R(2) to two real-life examples and compare it with simply averaging R(2) over many features.
AVAILABILITY: An R-package eigenR2 is available at http://www.genomine.org/eigenr2/ and will be made publicly available via Bioconductor.