| Dewey Class |
519.5 |
| Title |
Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R (EB) : Order-Restricted Analysis of Microarray Data / edited by Dan Lin, Ziv Shkedy, Daniel Yekutieli, Dhammika Amaratunga, Luc Bijnens. |
| Author |
Lin, Dan |
| Added Personal Name |
Shkedy, Ziv |
| Yekutieli, Daniel |
| Amaratunga, Dhammika |
| Bijnens, Luc |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
Berlin, Heidelberg : Springer |
| , 2012. |
| Physical Details |
XV, 282 pages : 96 illus., 4 illus. in color. : online resource. |
| Series |
Use R |
| ISBN |
9783642240072 |
| Summary Note |
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 âreal-worldâ examples of dose-response microarray datasets from early drug development experiments.: |
| Contents note |
Introduction -- Part I: Dose-response Modeling: An Introduction -- Estimation Under Order Restrictions -- The Likelihood Ratio Test -- Part II: Dose-response Microarray Experiments -- Functional Genomic Dose-response Experiments -- Adjustment for Multiplicity -- Test for Trend -- Order Restricted Bisclusters -- Classification of Trends in Dose-response Microarray Experiments Using Information Theory Selection Methods -- Multiple Contrast Test -- Confidence Intervals for the Selected Parameters -- Case Study Using GUI in R: Gene Expression Analysis After Acute Treatment With Antipsychotics. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
http://dx.doi.org/10.1007/978-3-642-24007-2 |
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