Description: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R : Order Restricted Analysis of Microarray Data, Paperback by Lin, Dan (EDT); Shkedy, Ziv (EDT); Yekutieli, Daniel (EDT); Amaratunga, Dhammika (EDT); Bijnens, Luc (EDT), ISBN 3642240062, ISBN-13 9783642240065, Like New Used, Free shipping in the US
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 th 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 th.
Part II is the core of th, 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 th are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments.
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Book Title: Modeling Dose-Response Microarray Data in Early Drug Development
Number of Pages: Xv, 282 Pages
Publication Name: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R : Order-Restricted Analysis of Microarray Data
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2012
Subject: Mathematical & Statistical Software, Probability & Statistics / General, Preventive Medicine, Life Sciences / Genetics & Genomics, Chemistry / Organic
Item Weight: 16.3 Oz
Type: Textbook
Item Length: 9.3 in
Author: Ziv Shkedy
Subject Area: Mathematics, Computers, Science, Medical
Series: Use R! Ser.
Item Width: 6.1 in
Format: Trade Paperback
