Due to the tremendous accumulation of data for genetic markers, pharmacogenomics, the study of the functions and interactions of all genes in the overall variability of drug response, is one of the hottest areas of research in biomedical science. Statistical and Computational Pharmacogenomics presents recent developments in statistical methodology with a number of detailed worked examples that outline how these methods can be applied. This comprehensive volume provides key tools needed to understand and model the genetic variation for drug response and equips statisticians with a thorough understanding of this complex field and how computational skills can be employed.
Table of Contents
Designs and Strategies for Genomic Mapping and
Haplotyping. Genetic Haplotyping in Natural Populations. Genetic Haplotyping in Experimental Crosses. A General Genetic Model for Genetic Haplotyping. Basic Principle of Functional Mapping. Functional Mapping of Pharmacokinetics and Pharmacodynamics. Haplotyping Drug Response With a Pharmacokinetics-Pharmacodynamics. Link Model. Functional Mapping of Biological Clocks. Genetic Mapping of Allometric Scaling. Functional Mapping of Drug Response with Allometric Scaling. Joint Functional Mapping of Drug Efficacy and Toxicity. Modeling Epistatic Interactions in Drug Response. Mapping Genotype-Environment Interactions in Drug Response. Nonparametric Functional Mapping of Drug Response
Semiparametric Functional Mapping of Drug Response. Author Index.
Wu, Rongling; Lin, Min