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Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - Order-Restricted Analysis of Microarray Data (Paperback, 2012) Loot Price: R1,522
Discovery Miles 15 220
Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - Order-Restricted Analysis of Microarray...

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

Dan Lin, Ziv Shkedy, Daniel Yekutieli, Dhammika Amaratunga, Luc Bijnens

Series: Use R!

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Loot Price R1,522 Discovery Miles 15 220 | Repayment Terms: R143 pm x 12*

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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.

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General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Use R!
Release date: August 2012
First published: 2012
Editors: Dan Lin • Ziv Shkedy • Daniel Yekutieli • Dhammika Amaratunga • Luc Bijnens
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Paperback
Pages: 282
Edition: 2012
ISBN-13: 978-3-642-24006-5
Categories: Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Medicine > Other branches of medicine > Pharmacology > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Pharmaceutical technology
LSN: 3-642-24006-2
Barcode: 9783642240065

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