Eigen-R2 for dissecting variation in high-dimensional studies

Bioinformatics. 2008 Oct 1;24(19):2260-2. doi: 10.1093/bioinformatics/btn411. Epub 2008 Aug 20.

Abstract

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.

MeSH terms

  • Algorithms
  • Gene Expression Profiling*
  • Genetic Variation
  • Models, Statistical
  • Software*