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Activity Number:
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284
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #308536 |
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Title:
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Optimal Designs in High-Throughput Screening
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Author(s):
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Xianggui Qu*+
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Companies:
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Oakland University
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Address:
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2200 N Squirrel Road, Rochester, MI, 48309,
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Keywords:
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Binary row-column designs ; high throughput screening ; (m,s)-optimality ; row-column designs
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Abstract:
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A new class of row-column designs is proposed for high throughput screening. These designs are minimally treatment-connected row-column designs. That is, all treatment contrasts are estimable regardless of the row and column effects. The (m,s)-criterion is used to select optimal designs. (M,s)-optimal designs are constructed over a class of square binary designs. Nonsquare optimal designs and other alternatives are also discussed.
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- Authors who are presenting talks have a * after their name.
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