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1
Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics - Dean, Angela / Lewis, Susan (eds.)
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Dean, Angela / Lewis, Susan (eds.):

Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics - hardcover

2006, ISBN: 9780387280134

[ED: Hardcover], [PU: Springer / Springer New York / Springer, Berlin], The process of discovery in science and technology may require investigation of a large number of features, such as… More...

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Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics - Angela Dean
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Angela Dean:

Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics - new book

2001, ISBN: 9780387280134

[ED: Buch], [PU: SPRINGER NATURE], Neuware - The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecule… More...

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Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics / Angela Dean (u. a.) / Buch / XVI / Englisch / 2006 / Springer US / EAN 9780387280134 - Dean, Angela
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Dean, Angela:
Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics / Angela Dean (u. a.) / Buch / XVI / Englisch / 2006 / Springer US / EAN 9780387280134 - hardcover

2006

ISBN: 9780387280134

[ED: Gebunden], [PU: Springer US], The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Scre… More...

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Screening - Dean, Angela|Lewis, Susan
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Dean, Angela|Lewis, Susan:
Screening - hardcover

2006, ISBN: 0387280138

[EAN: 9780387280134], Neubuch, [PU: Springer New York], MATHEMATICS PROBABILITY & STATISTICS GENERAL MEDICAL BIOSTATISTICS MATHEMATIK WAHRSCHEINLICHKEITSTHEORIE STOCHASTIK MATHEMATISCHE S… More...

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5
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Dean, Angela and Susan Lewis (Edts.):
Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics. - hardcover

ISBN: 9780387280134

348 S.; Ill. Hardcover, [PU: Springer]

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Details of the book
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 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.

Details of the book - Screening: Methods for Experimentation in Industry, Drug Discovery, and Genetics


EAN (ISBN-13): 9780387280134
ISBN (ISBN-10): 0387280138
Hardcover
Publishing year: 2006
Publisher: Dean, Angela, Lewis, Susan, Springer
326 Pages
Weight: 0,630 kg
Language: eng/Englisch

Book in our database since 2007-05-28T08:31:32+01:00 (London)
Detail page last modified on 2023-10-23T13:18:21+01:00 (London)
ISBN/EAN: 9780387280134

ISBN - alternate spelling:
0-387-28013-8, 978-0-387-28013-4
Alternate spelling and related search-keywords:
Book author: lewis susan, dean lewis, ehrmann theophil
Book title: expérimentation, genetics, screening, dänemark norwegen schweden, methods discovery, neueste kunde der nordischen reiche


Information from Publisher

Author: Angela Dean
Title: Screening - Methods for Experimentation in Industry, Drug Discovery, and Genetics
Publisher: Springer; Springer US
332 Pages
Publishing year: 2006-02-16
New York; NY; US
Printed / Made in
Weight: 1,480 kg
Language: English
109,99 € (DE)

BB; Statistical Theory and Methods; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Medical Screening; Methodologie; Radiologieinformationssystem; Statistica; Variance; algorithm; analysis of variance; computer simulation; data analysis; microarray; screening; simulation; simulation model; Statistics for Life Sciences, Medicine, Health Sciences; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistical Theory and Methods; Biostatistics; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; BC; EA

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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