Estimation of transformation parameters for microarray data

Blythe Durbin, David M Rocke

Research output: Contribution to journalArticlepeer-review

51 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1360-1367
Number of pages8
Issue number11
StatePublished - Jul 22 2003

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computer Science Applications
  • Computational Theory and Mathematics


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