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

页码：2260 / 2262

页数：3

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