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...
Guardat en:
| Autor principal: | |
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| Altres autors: | , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2006. |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 21 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Screening, methods for experimentation in industry, drug discovery, and genetics, Angela Dean, Susan Lewis (eds.), New York, Springer, 2006, 1 vol. (XV-332 p.), 0-387-28013-8 |
Taula de continguts:
- 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