Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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A note on Box-Cox transformation and application in microarray data

  • Rahman, Mezbahur (Department of Mathematics and Statistics, Minnesota State University) ;
  • Lee, Nam-Yong (Department of Mathematics and Statistics, Minnesota State University)
  • Received : 2011.04.24
  • Accepted : 2011.08.21
  • Published : 2011.10.01
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Abstract

The Box-Cox transformation is a well known family of power transformations that brings a set of data into agreement with the normality assumption of the residuals and hence the response variable of a postulated model in regression analysis. Normalization (studentization) of the regressors is a common practice in analyzing microarray data. Here, we implement Box-Cox transformation in normalizing regressors in microarray data. Pridictabilty of the model can be improved using data transformation compared to studentization.

Keywords

References

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