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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 23
Type: Contributed
Date/Time: Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #309942
Title: Optimal Microarray Designs for cDNA Microarray Experiments
Author(s): Tathagata Bandyopadhyay*+
Companies: Indian Institute of Management Ahmedabad
Address: Wing 14 Indian Institute of Management A, Ahmedabad, 380015, India
Keywords: microarray experiment ; factorial experiment ; optimal design
Abstract:

We investigate optimal factorial designs for cDNA microarray experiments, where the parameters of interest differ from traditional factorials. We apply approximate theory to obtain analytical results for 22 factorial. More general, including asymmetric factorials are considered next and tools of Kronecker representation and unimodularity are employed to derive strong exact result on optimal saturated designs. Its impact on the study of optimal or efficient nearly saturated designs is also investigated. These results are then extended to more intricate situation where the underlying model incorporates dye-coloring effects, and finally the role of dye-swapping is critically examined.

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Revised September, 2007