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Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data (Use R! Book 0) by Dan Lin, Ziv Shkedy, Daniel Yekutieli, Dhammika Amaratunga and Luc Bijnens is a nonfiction available to read on EtoBox.
What is Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data (Use R! Book 0) about?
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
Who reads Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data (Use R! Book 0)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dan Lin, Ziv Shkedy, Daniel Yekutieli, Dhammika Amaratunga and Luc Bijnens
- Publisher
- Springer Berlin Heidelberg : Imprint : Springer
- Published
- 2012
- Language
- EN
- ISBN
- 9783642240072
- Category
- nonfiction
- Subjects
- Mathematics, Medical, Computer Science
Other editions & translations
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