Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R : Order-Restricted Analysis of Microarray Data Paperback / softback
Edited by Danyu Lin, Ziv Shkedy, Daniel Yekutieli, Dhammika Amaratunga, Luc Bijnens
Part of the Use R! series
This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this 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 inference under order restrictions and non-linear parametric models, which are used in the second part of the book. Part II is the core of the book, in which we focus on the analysis of dose-response microarray data.
Methodological topics discussed include:* Multiplicity adjustment* Test statistics and procedures for the analysis of dose-response microarray data* Resampling-based inference and use of the SAM method for 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* Gene set analysis to facilitate the interpretation of microarray results* Hierarchical Bayesian models and Bayesian variable selection* Non-linear models for dose-response microarray data* Multiple contrast tests* Multiple confidence intervals for selected parameters adjusted for the false coverage-statement rateAll methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments.
- Format: Paperback / softback
- Pages: 282 pages, 20 Tables, black and white; 4 Illustrations, color; 92 Illustrations, black and white; XV
- Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date: 26/08/2012
- Category: Pharmacology
- ISBN: 9783642240065