Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R Order-Restricted Analysis of Microarray Data /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lin, Dan (Editor), Shkedy, Ziv (Editor), Yekutieli, Daniel (Editor), Amaratunga, Dhammika (Editor), Bijnens, Luc (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Series: Use R!
• Subjects: Statistics.; Pharmaceutical technology.; Bioinformatics.; Biostatistics.; Computational biology.; Statistics, general.; Statistics and Computing/Statistics Programs.; Pharmaceutical Sciences/Technology.; Computer Appl. in Life Sciences.

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...

Table of Contents:

• 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.