Screening Methods for Experimentation in Industry, Drug Discovery, and Genetics /
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 k...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2006.
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.
