Department of Public Health Sciences

Estimation of transformation parameters for microarray data

Durbin B, Rocke DM

Bioinformatics. 2003. 19(11):1360-7.

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. AVAILABILITY: R and Matlab code and test data are available from the authors on request. PMID: 12874047 [PubMed - indexed for MEDLINE]

Keywords: http://bioinformatics.oxfordjournals.org/content/19/11/1360.long



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