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Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R Order-Restricted Analysis of Microarray Data /
This book focuses on the analysis of dose-response microarray data in pharmaceutical setting, the goal being to cover this important topic for early drug development and to provide user-friendly R packages that can be used to analyze dose-response microarray data. It is intended for biostatisticians...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | Use R!,
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| Temas: | |
| Acceso en línea: | Texto Completo |
| Sumario: | This book focuses on the analysis of dose-response microarray data in pharmaceutical setting, the goal being to cover this important topic for early drug development and to provide user-friendly R packages that can be used to analyze dose-response microarray data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students. Part I of the book is an introduction, in which we discuss the dose-response setting and the problem of estimating normal means under order restrictions. In particular, we discuss the pooled-adjacent-violator (PAV) algorithm and isotonic regression, as well as the likelihood ratio test and non-linear parametric models, which are used in the second part of the book. Part II is the core of the book. Methodological topics discussed include: · Multiplicity adjustment · Test statistics and testing procedures for the analysis of dose-response microarray data · Resampling-based inference and use of the SAM method at the presence of small-variance genes in the data · Identification and classification of dose-response curve shapes · Clustering of order restricted (but not necessarily monotone) dose-response profiles · Hierarchical Bayesian models and non-linear models for dose-response microarray data · Multiple contrast tests All methodological issues in the book are illustrated using four "real-world" examples of dose-response microarray datasets from early drug development experiments. |
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| Descripción Física: | XV, 282 p. 96 illus., 4 illus. in color. online resource. |
| ISBN: | 9783642240072 |
| ISSN: | 2197-5744 |