Eigen-R2 for dissecting variation in high-dimensional studies

被引：14
|
作者：
Chen, Lin S. [1 ]
Storey, John D. [1 ,2 ]
机构：
[1] Princeton Univ, Lewis Sigler Inst, Princeton, NJ 08544 USA
[2] Princeton Univ, Dept Mol Biol, Princeton, NJ 08544 USA
来源：
BIOINFORMATICS | 2008年 / 24卷 / 19期
关键词：
D O I：
10.1093/bioinformatics/btn411
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：2260 / 2262
页数：3
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