Estimation of transformation parameters for microarray data

被引：47
|
作者：
Durbin, B [1 ]
Rocke, DM
机构：
[1] Univ Calif Davis, Dept Stat, Davis, CA 95616 USA
[2] Univ Calif Davis, Dept Appl Sci, Davis, CA 95616 USA
来源：
BIOINFORMATICS | 2003年 / 19卷 / 11期
关键词：
D O I：
10.1093/bioinformatics/btg178
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Motivation and Results: Durbin et al. (2002), Huber et al. (2002) and Munson (2001) independently introduced a family of transformations (the generalized-log family) which stabilizes the variance of microarray data up to the first order. We introduce a method for estimating the transformation parameter in tandem with a linear model based on the procedure outlined in Box and Cox (1964). We also discuss means of finding transformations within the generalized-log family which are optimal under other criteria, such as minimum residual skewness and minimum mean-variance dependency.
引用
收藏
页码：1360 / 1367
页数：8
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