Eigen-R2 for dissecting variation in high-dimensional studies

Lin S. Chen, John D. Storey

Research output: Contribution to journalArticle

13 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)2260-2262
Number of pages3
JournalBioinformatics
Volume24
Issue number19
DOIs
StatePublished - Oct 2008

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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