Approximate variance-stabilizing transformations for gene-expression microarray data

Bioinformatics. 2003 May 22;19(8):966-72. doi: 10.1093/bioinformatics/btg107.

Abstract

Motivation: A variance stabilizing transformation for microarray data was recently introduced independently by several research groups. This transformation has sometimes been called the generalized logarithm or glog transformation. In this paper, we derive several alternative approximate variance stabilizing transformations that may be easier to use in some applications.

Results: We demonstrate that the started-log and the log-linear-hybrid transformation families can produce approximate variance stabilizing transformations for microarray data that are nearly as good as the generalized logarithm (glog) transformation. These transformations may be more convenient in some applications.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.
  • Validation Study

MeSH terms

  • Algorithms*
  • Analysis of Variance
  • Computer Simulation
  • Gene Expression Profiling / methods*
  • Gene Expression Regulation / genetics
  • Models, Genetic*
  • Models, Statistical
  • Oligonucleotide Array Sequence Analysis
  • Sequence Analysis, DNA / methods*