On efficiency of experimental designs for single factor cDNA microarray experiments

  • Authors:

  • Xiao Yang;Keying Ye

  • Affiliations:

  • Monsanto Company, St. Louis, MO;Department of Statistics, Virginia Tech, Blacksburg, VA

  • Venue:
  • CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
  • Year:
  • 2004

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Abstract

Microarray experiments are used to perform gene expression profiling on a large scale. The focus of this study is on the efficiency of statistical design for single factor cDNA two-color microarray experiments. Relative efficiencies of proposed designs in Yang ([13]) are studied within the framework of incomplete block designs as well as row-column designs. Such efficiencies are investigated under fixed and mixed analysis of variance models. Furthermore, a real data analysis is conducted.