Analysis of Gene Expression Data

Abstract

Gene expression changes frequently mediate the actions of many drugs and developments in the gene expression profiling and proteomics are being increasingly used to delineate drug mechanisms. Gene expression data differ considerably from typical pharmacokinetics and pharmacodynamics data sets in their size, dimensionality and complexity and this chapter describes the biostatistical, pattern recognition and bioinformatics approaches used for analyzing large gene expression data sets obtained with microarray and proteomics technologies. Pharmacodynamic modeling of genomic data sets presents some unique challenges and potential strategies for addressing these are presented. © 2007 John Wiley & Sons, Inc.