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Methods for Experimentation in Industry, Drug Discovery, and Genetics
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Angela Dean
631 g
245x162x25 mm

The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Screening, statistically designed experiments and analyses of the resulting data sets are used to identify efficiently the few features that determine key properties of the system under study.
This book covers three areas of screening in various guises: Industry, Chemical/Pharmaceutical, and Genetic/Medical. This book brings together accounts by leading international experts that are essential reading for those working in fields such as industrial quality improvement, engineering research and development, genetic and medical screening, drug discovery, and computer simulation of manufacturing systems or economic models.
An Overview of Industrial Screening Experiments.- Screening Experiments for Dispersion Effects.- Pooling Experiments for Blood Screening and Drug Discovery.- Pharmaceutical Drug Discovery: Designing the Blockbuster Drug.- Design and Analysis of Screening Experiments with Microarrays.- Screening for Differential Gene Expressions from Microarray Data.- Projection Properties of Factorial Designs for Factor Screening.- Factor Screening via Supersaturated Designs.- An Overview of Group Factor Screening.- Screening Designs for Model Selection.- Prior Distributions for Bayesian Analysis of Screening Experiments.- Analysis of Orthogonal Saturated Designs.- Screening for the Important Factors in Large Discrete-Event Simulation Models: Sequential Bifurcation and Its Applications.- Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization.

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