Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data (2012)Paperback - 2012, 26 August 2012

Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data (2012)
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Part of Series
Use R!
Print Length
282 pages
Language
English
Publisher
Springer
Date Published
26 Aug 2012
ISBN-10
3642240062
ISBN-13
9783642240065

Description

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 rate

All methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments.

Product Details

Book Edition:
2012
Book Format:
Paperback
Country of Origin:
NL
Date Published:
26 August 2012
Dimensions:
23.32 x 15.54 x 1.52 cm
Genre:
Science/Technology Aspects
ISBN-10:
3642240062
ISBN-13:
9783642240065
Language:
English
Location:
Berlin, Heidelberg
Pages:
282
Publisher:
Springer
Series:
Weight:
421.84 gm

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