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...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Tác giả khác: | , |
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Phiên bản: | 1st ed. 2006. |
| Những chủ đề: | |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
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 |
| LEADER | 05939nam a22003977a 4500 | ||
|---|---|---|---|
| 001 | 937884 | ||
| 008 | 080410q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN123108012 | ||
| 020 | |a 0387280146 | ||
| 020 | |a 9780387280141 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519.5 | ||
| 100 | 1 | |a Dean, Angela. | |
| 245 | 1 | 0 | |a Screening : |b methods for experimentation in industry, drug discovery, and genetics |c Angela Dean, Susan Lewis (eds.). |
| 250 | |a 1st ed. 2006. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a Description d'après consultation du 21 avril 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Notes bibliographiques. Index | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 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. Our aim is to promote cross-fertilization of ideas and methods through detailed explanations, a variety of examples and extensive references. Topics cover both physical and computer simulated experiments. They include screening methods for detecting factors that affect the value of a response or its variability, and for choosing between various different response models. Screening for disease in blood samples, for genes linked to a disease and for new compounds in the search for effective drugs are also described. Statistical techniques include Bayesian and frequentist methods of data analysis, algorithmic methods for both the design and analysis of experiments, and the construction of fractional factorial designs and orthogonal arrays. The material is accessible to graduate and research statisticians, and to engineers and chemists with a working knowledge of statistical ideas and techniques. It will be of interest to practitioners and researchers who wish to learn about useful methodologies from within their own area as well as methodologies that can be translated from one area to another. Angela Dean is Professor of Statistics at The Ohio State University, USA. She is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. Her research focuses on the construction of efficient designs for factorial experiments in industry and marketing. She is co-author of the textbook Design and Analysis of Experiments and has served on the editorial boards of the Journal of the Royal Statistical Society and Technometrics. Susan Lewis is a Professor of Statistics at the University of Southampton, UK, and Deputy Director of the Southampton Statistical Sciences Research Institute. She has research interests in screening, design algorithms and the design and analysis of experiments in industry. She was awarded the Greenfield Industrial Medal by the Royal Statistical Society in 2005. She has served the Society as a Vice-President and a Member of Council, as well as a former Editor of the Journal of the Royal Statistical Society, Series C (Applied Statistics) | ||
| 650 | |a Médecine |x Recherche |x Statistique médicale | ||
| 650 | |a Médecine |x Dépistage | ||
| 700 | 1 | |a Dean, Angela, |d 19..-...., |c mathématicienne. |4 edt | |
| 700 | 1 | |a Lewis, Susan, |d 19..-...., |c mathématicienne. |4 edt | |
| 776 | 0 | |0 111225787 |t Screening |o methods for experimentation in industry, drug discovery, and genetics |f Angela Dean, Susan Lewis (eds.) |c New York |n Springer |d 2006 |p 1 vol. (XV-332 p.) |z 0-387-28013-8 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/0-387-28014-6 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-NQZCD7VM-P |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747905908 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/0-387-28014-6 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750919019 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/0-387-28014-6 |z Accès INSA CVL | |
| 997 | |0 937884 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||