On the A-Optimality Criterion for Finding Two-Color Microarray Optimal Designs

Frans E. S. Tan*, Valeria Lima Passos

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Web of Science)

Abstract

Several studies on two-color microarray experimental designs consider the A-optimality criterion for the assessment and/or search of appropriate/optimal designs. What seems to be widely ignored, however, is the well-known fact that A-optimal designs depend on the choice of scale or code combination of the X-variables. In this article, it is shown that intrinsically different optimal microarray designs will be obtained depending on the chosen code combination of the qualitative factors. Moreover, a substantial loss in efficiency will result when a design, which is optimal for a specific code combination, is used for another one. This coding problematic is also applicable to the admissibility concept.
Original languageEnglish
Pages (from-to)835-841
JournalJournal of Computational Biology
Volume18
Issue number6
DOIs
Publication statusPublished - Jun 2011

Keywords

  • A-optimality
  • scale dependency
  • two-color microarray

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