Microarray technology has made available large data sets that can provide information on
gene expression when cells are subjected to various treatments. Before proceeding with a …

This chapter briefly reviews how laboratories generate microarray data. This information
may give data analysts a better appreciation of the technical sources of variability in the data …

Multiple factors and interactions of those factors contribute to variation in gene expression
microarray data. For example, certain kinds of systematic variation are most commonly dealt …

Microarray analysis results in the gathering of massive amounts of information concerning
gene expression profiles of different cells and experimental conditions. Analyzing these data …

Toxicogenomics Consortium Preliminary Analysis of Spike-In Datasets Page 1 Copyright 2003
Lixuan Qin and Kathleen Kerr Empirical Evaluation of Methodologies for Microarray Data …

Microarray experiments require careful planning and choice of analysis tools in order to get
the most out of the data generated, especially considering the associated significant cost …

This chapter is a rough map of the book. It provides a concise overview of data-analytic tasks
associated with microarray studies, pointers to chapters that can help perform these tasks …

The study of gene expression with printed arrays and prefabricated chips is evolving from a
qualitative to a quantitative science. Statistical procedures for determining quality control …

Microarray experiments allow researchers to simultaneously examine the expression levels
of multiple genes under different conditions. Regardless of whether the experiment utilizes …

We review a series of statistical issues that arise in the design of a gene-expression array
experiments in the statistical assessment of which genes are differentially expressed and in …